CEC 2009: Trondheim, Norway

Evolutionary Multiobjective Optimization I

• Lang Fan, Christine L. Mumford, Dafydd Evans:
  A simple multi-objective optimization algorithm for the urban transit routing problem. 1-7
  
• A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya:
  The Pareto-Following Variation Operator as an alternative approximation model. 8-15
  
• Adriana Lara, Carlos A. Coello Coello, Oliver Schütze:
  Using gradient-based information to deal with scalability in multi-objective evolutionary algorithms. 16-23
  
• Sameh S. Askar, Ashutosh Tiwari:
  Finding exact solutions for multi-objective optimisation problems using a symbolic algorithm. 24-30
  

Evolutionary Robotics I

• Elio Tuci, Gianluca Massera, Stefano Nolfi:
  Active categorical perception in an evolved anthropomorphic robotic arm. 31-38
  
• Joshua E. Auerbach, Josh C. Bongard:
  How robot morphology and training order affect the learning of multiple behaviors. 39-46
  
• Renan C. Moioli, Patrícia Amâncio Vargas, Phil Husbands:
  A multiple hormone approach to the homeostatic control of conflicting behaviours in an autonomous mobile robot. 47-54
  
• Sabine Hauert, Jean-Christophe Zufferey, Dario Floreano:
  Reverse-engineering of artificially evolved controllers for swarms of robots. 55-61
  

Agent Based Memetic Algorithms

• Jing Liu, Weicai Zhong, Licheng Jiao:
  Macro-Agent Evolutionary Model for decomposable function optimization. 62-69
  
• Abu Saleh Shah Muhammad Barkat Ullah, Ruhul A. Sarker, Chris Lokan:
  An Agent-based Memetic Algorithm (AMA) for nonlinear optimization with equality constraints. 70-77
  
• Aleksander Byrski, Robert Schaefer:
  Formal model for agent-based asynchronous evolutionary computation. 78-85
  
• Dmitry M. Pisarevsky, Pini Gurfil:
  A memetic algorithm for optimizing high-inclination multiple gravity-assist orbits. 86-93
  

Differential Evolution I

• Ville Tirronen, Ferrante Neri, Tuomo Rossi:
  Enhancing Differential Evolution frameworks by scale factor local search - Part I. 94-101
  
• Zhenyu Yang, Jingqiao Zhang, Ke Tang, Xin Yao, Arthur C. Sanderson:
  An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization. 102-109
  
• Mahamed G. H. Omran, Andries Petrus Engelbrecht:
  Free Search Differential Evolution. 110-117
  
• Ferrante Neri, Ville Tirronen, Tommi Kärkkäinen:
  Enhancing Differential Evolution frameworks by scale factor local search - part II. 118-125
  

PERPLEXUS: Pervasive reconfigurable platform for modelling complex systems

• Juan Manuel Moreno, Jordi Madrenas:
  A reconfigurable architecture for emulating large-scale bio-inspired systems. 126-133
  
• Héctor F. Satizábal, Andres Upegui:
  Dynamic partial reconfiguration of the Ubichip for implementing adaptive size incremental topologies. 134-141
  
• Michael Hauptvogel, Jordi Madrenas, Juan Manuel Moreno:
  SpiNDeK: An Integrated design tool for the multiprocessor emulation of complex bioinspired spiking neural networks. 142-149
  
• Jaime Alberto Parra Plaza, Andres Upegui, J. Velasco-Medina:
  Cytocomputation in a biologically inspired, dynamically reconfigurable hardware platform. 150-157
  

Applied Simulations I

• Uday K. Chakraborty:
  Minimizing total flow time in permutation flow shop scheduling with improved simulated annealing. 158-165
  
• Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian, Byoung-Tak Zhang:
  Evolving hypernetwork models of binary time series for forecasting price movements on stock markets. 166-173
  
• Igor Vatolkin, Wolfgang M. Theimer, Günter Rudolph:
  Design and comparison of different evolution strategies for feature selection and consolidation in music classification. 174-181
  
• Gina M. B. Oliveira, Stefano S. B. V. Vita:
  A multi-objective evolutionary algorithm with epsilon-dominance to calculate multicast routes with QoS requirements. 182-189
  

Performance Assessment of Constrained/Bound constrained multi-objective optimization algorithms I

• Vicky Ling Huang, Shuguang Z. Zhao, Rammohan Mallipeddi, Ponnuthurai N. Suganthan:
  Multi-objective optimization using self-adaptive differential evolution algorithm. 190-194
  
• Ales Zamuda, Janez Brest, Borko Boskovic, Viljem Zumer:
  Differential Evolution with Self-adaptation and Local Search for Constrained Multiobjective Optimization. 195-202
  
• Qingfu Zhang, Wudong Liu, Hui Li:
  The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances. 203-208
  
• Chih-Ming Chen, Ying-Ping Chen, Qingfu Zhang:
  Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization. 209-216
  

Concurrent Approaches to Collaboration in EC

• Fiona A. C. Polack, Paul S. Andrews, Adam T. Sampson:
  The engineering of concurrent simulations of complex systems. 217-224
  
• Adam T. Sampson, John Markus Bjørndalen, Paul S. Andrews:
  Birds on the wall: Distributing a process-oriented simulation. 225-231
  
• Eric Bonnici, Peter H. Welch:
  Mobile processes, mobile channels and complex dynamic systems. 232-239
  
• Anca Gog, Camelia Chira, D. Dumitrescu:
  Asynchronous evolutionary search: Multi-population collaboration and complex dynamics. 240-246
  

Evolutionary Computation in Bioinformatics and Computational Biology I

• Dragos Horvath, Lorraine Brillet, S. Roy, Sébastien Conilleau, Alexandru-Adrian Tantar, Jean-Charles Boisson, Nouredine Melab, El-Ghazali Talbi:
  Local vs. global search strategies in evolutionary GRID-based conformational sampling & docking. 247-254
  
• Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
  Unsupervised cancer classification through SVM-boosted multiobjective fuzzy clustering with majority voting ensemble. 255-261
  
• David Hecht, Mars Cheung, Gary B. Fogel:
  Docking scores and QSAR using evolved neural networks for the Pan-inhibition of wild-type and mutant PfDHFR by cycloguanil derivatives. 262-269
  
• Kay C. Wiese, Andrew Hendriks:
  RNA pseudoknot prediction via an evolutionary algorithm. 270-276
  
• Dianhui Wang, Xi Li:
  GAPK: Genetic algorithms with prior knowledge for motif discovery in DNA sequences. 277-284
  

Development & Biological Networks I

• Simon Harding, Julian Francis Miller, Wolfgang Banzhaf:
  Self modifying Cartesian Genetic Programming: Parity. 285-292
  
• Pauline C. Haddow, Johan Hoye:
  Investigating the effect of regulatory decisions in a development model. 293-300
  
• Martin Trefzer, Tüze Kuyucu, Julian Francis Miller, Andy M. Tyrrell:
  A model for intrinsic artificial development featuring structural feedback and emergent growth. 301-308
  
• Benhui Chen, Long Li, Jinglu Hu:
  A novel EDAs based method for HP model protein folding. 309-315
  
• Taras Kowaliw, Wolfgang Banzhaf:
  Augmenting artificial development with local fitness. 316-323
  

Evolutionary Computation in Space and Air I

• Nicolas Croisard, Massimiliano Vasile:
  System engineering design optimisation under uncertainty for preliminary space mission. 324-331
  
• Boris Naujoks, Heike Trautmann:
  Online convergence detection for multiobjective aerodynamic applications. 332-339
  
• Matthew P. Ferringer, David B. Spencer, Patrick Reed:
  Many-objective reconfiguration of operational satellite constellations with the Large-Cluster Epsilon Non-dominated Sorting Genetic Algorithm-II. 340-349
  
• Edmondo A. Minisci, Giulio Avanzini:
  Orbit transfer manoeuvres as a test benchmark for comparison metrics of evolutionary algorithms. 350-357
  
• Andreas Ohndorf, B. Dachwald, E. Gill:
  Optimization of low-thrust Earth-Moon transfers using evolutionary neurocontrol. 358-364
  

Parameter Setting in Evolutionary Algorithms

• Jorge Maturana, Álvaro Fialho, Frédéric Saubion, Marc Schoenauer, Michèle Sebag:
  Extreme compass and Dynamic Multi-Armed Bandits for Adaptive Operator Selection. 365-372
  
• Rafi Shalom, Mireille Avigal, Ron Unger:
  A conflict based SAW method for Constraint Satisfaction Problems. 373-380
  
• Changhe Li, Shengxiang Yang:
  An adaptive learning particle swarm optimizer for function optimization. 381-388
  
• Nelis Franken:
  Visual exploration of algorithm parameter space. 389-398
  
• Selmar K. Smit, A. E. Eiben:
  Comparing parameter tuning methods for evolutionary algorithms. 399-406
  

EC in Dynamic and Uncertain Environments I

• Peter Korosec, Jurij Silc:
  The Differential Ant-Stigmergy Algorithm applied to dynamic optimization problems. 407-414
  
• Janez Brest, Ales Zamuda, Borko Boskovic, Mirjam Sepesy Maucec, Viljem Zumer:
  Dynamic optimization using Self-Adaptive Differential Evolution. 415-422
  
• Fabrício Olivetti de França, Fernando J. Von Zuben:
  A dynamic artificial immune algorithm applied to challenging benchmarking problems. 423-430
  
• Ling Yu, Ponnuthurai N. Suganthan:
  Evolutionary programming with ensemble of explicit memories for dynamic optimization. 431-438
  
• Changhe Li, Shengxiang Yang:
  A clustering particle swarm optimizer for dynamic optimization. 439-446
  

Evolutionary Algorithms based on Probabilistic Models I

• Alexander E. I. Brownlee, John A. W. McCall, Siddhartha Shakya, Qingfu Zhang:
  Structure learning and optimisation in a Markov-network based estimation of distribution algorithm. 447-454
  
• Luis de la Ossa, José A. Gámez, Juan L. Mateo, Jose Miguel Puerta:
  Avoiding premature convergence in estimation of distribution algorithms. 455-462
  
• Dongdong Yang, Licheng Jiao, Maoguo Gong, Hongxiao Feng:
  Hybrid multiobjective estimation of distribution algorithm by local linear embedding and an immune inspired algorithm. 463-470
  
• Shih-Hsin Chen, Pei-Chann Chang, Qingfu Zhang:
  A self-guided genetic algorithm for flowshop scheduling problems. 471-478
  
• Siddhartha Shakya, Alexander E. I. Brownlee, John A. W. McCall, François A. Fournier, Gilbert Owusu:
  A fully multivariate DEUM algorithm. 479-486
  

Evolutionary games on complex networks

• Jun Tanimoto:
  The effect of assortative mixing on emerging cooperation in an evolutionary network game. 487-493
  
• Reiji Suzuki, Takaya Arita:
  Evolution of cooperation on different pairs of interaction and replacement networks with various intensity of selection. 494-499
  
• Sven Van Segbroeck, Francisco C. Santos, Ann Nowé, Jorge M. Pacheco, Tom Lenaerts:
  The coevolution of loyalty and cooperation. 500-505
  
• Jorge Peña, Enea Pestelacci, Marco Tomassini, Henri Volken:
  Conformity and network effects in the Prisoner's Dilemma. 506-513
  
• Akira Namatame, Hiroshi Sato:
  Symmetric networks foster to evolve desirable turn-taking rules in dispersion games. 514-521
  

Evolutionary Multiobjective Optimization II

• Kazuyuki Sugimura, Shinkyu Jeong, Shigeru Obayashi, Takeshi Kimura:
  Kriging-model-based multi-objective robust optimization and trade-off-rule mining using association rule with aspiration vector. 522-529
  
• Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima:
  Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization. 530-537
  
• Lucas Bradstreet, Luigi Barone, R. Lyndon While:
  Updating exclusive hypervolume contributions cheaply. 538-544
  
• Dhish Kumar Saxena, Tapabrata Ray, Kalyanmoy Deb, Ashutosh Tiwari:
  Constrained many-objective optimization: A way forward. 545-552
  

BioComputing & Complex Adaptive Systems I

• Krzysztof Juszczyszyn, Anna Musial, Katarzyna Musial, Piotr Bródka:
  Molecular dynamics modelling of the temporal changes in complex networks. 553-559
  
• Sylvain Koos, Jean-Baptiste Mouret, Stéphane Doncieux:
  Automatic system identification based on coevolution of models and tests. 560-567
  
• Jonathan Byrne, Michael O'Neill, Erik Hemberg, Anthony Brabazon:
  Analysis of constant creation techniques on the binomial-3 problem with grammatical evolution. 568-573
  
• Gul Muhammad Khan, Julian Francis Miller, David M. Halliday:
  In search of intelligent genes: The cartesian genetic programming computational neuron (CGPCN). 574-581
  

System Design I

• Zai Wang, Tianshi Chen, Ke Tang, Xin Yao:
  A multi-objective approach to Redundancy Allocation Problem in parallel-series systems. 582-589
  
• Shuguang Zhao, Ponnuthurai N. Suganthan:
  Diversity enhanced particle swarm optimizer for global optimization of multimodal problems. 590-597
  
• Vinh Bui, Lam Thu Bui, Hussein A. Abbass, Axel Bender, Pradeep Ray:
  On the role of information networks in logistics: An evolutionary approach with military scenarios. 598-605
  
• Mario A. Góngora, Benjamin N. Passow, Adrian A. Hopgood:
  Robustness analysis of evolutionary controller tuning using real systems. 606-613
  

Differential Evolution II

• Mingming Zhang, Shuguang Zhao, Xu Wang:
  Multi-objective evolutionary algorithm based on adaptive discrete Differential Evolution. 614-621
  
• Bo Liu, Francisco V. Fernández, Georges G. E. Gielen:
  Fuzzy selection based differential evolution algorithm for analog cell sizing capturing imprecise human intentions. 622-629
  
• Yu Wang, Bin Li:
  Investigation of memory-based multi-objective optimization evolutionary algorithm in dynamic environment. 630-637
  

Computational Intelligence in Games I

• Shiven Sharma, Ziad Kobti, Scott D. Goodwin:
  Coevolving intelligent game players in a cultural framework. 638-645
  
• S. Ying Lin, Jonathon David White:
  Spatial processing layer effects on the evolution of neural networks to play the game of Othello. 646-651
  
• Niels van Hoorn, Julian Togelius, Daan Wierstra, Jürgen Schmidhuber:
  Robust player imitation using multiobjective evolution. 652-659
  
• Ryan K. Small, Clare Bates Congdon:
  Agent Smith: Towards an evolutionary rule-based agent for interactive dynamic games. 660-666
  

EC in Dynamic and Uncertain Environments II

• Anna Rakitianskaia, Andries Petrus Engelbrecht:
  Training neural networks with PSO in dynamic environments. 667-673
  
• Marius Riekert, Katherine Malan, Andries Petrus Engelbrecht:
  Adaptive Genetic Programming for dynamic classification problems. 674-681
  
• Shengxiang Yang, Hendrik Richter:
  Hyper-learning for population-based incremental learning in dynamic environments. 682-689
  
• Trung Thanh Nguyen, Xin Yao:
  Benchmarking and solving dynamic constrained problems. 690-697
  

Particle Swarm I

• Marco Antonio Montes de Oca, Jorge Peña, Thomas Stützle, Carlo Pinciroli, Marco Dorigo:
  Heterogeneous particle swarm optimizers. 698-705
  
• Mohammed El-Abd, Hassan Hassan, Mohamed S. Kamel:
  Discrete and continuous particle swarm optimization for FPGA placement. 706-711
  
• Andrew W. McNabb, Matthew Gardner, Kevin D. Seppi:
  An exploration of topologies and communication in large particle swarms. 712-719
  
• Alan Godoy, Fernando J. Von Zuben:
  A Complex Neighborhood based Particle Swarm Optimization. 720-727
  

Hybrid Evolutionary Algorithms in Forecasting Models

• Wei-Mou Hung, Wei-Chiang Hong, Tung-Bo Chen:
  Application of hybrid genetic algorithm and simulated annealing in a SVR traffic flow forecasting model. 728-735
  
• Qu Li, Min Yao, Weihong Wang, Xiaohong Cheng:
  Dynamic Split-point Selection Method for decision tree evolved by Gene Expression Programming. 736-740
  
• Juan Peralta, Germán Gutiérrez, Araceli Sanchís:
  Shuffle design to improve time series forecasting accuracy. 741-748
  

Posters

• Lam Thu Bui, Slawomir Wesolkowski, Axel Bender, Hussein A. Abbass, Michael Barlow:
  A dominance-based stability measure for multi-objective evolutionary algorithms. 749-756
  
• Daniel Villatoro, Jordi Sabater-Mir:
  Dynamics in the normative group recognition process. 757-764
  
• Jing Liu, Wenrong Jiang, Weicai Zhong, Licheng Jiao:
  OEA_SAT: An Organizational Evolutionary Algorithm for solving SATisfiability problems. 765-770
  
• Hamed Shakouri G., Kambiz Shojaee, Mojtaba Behnam T.:
  The Wise Experiencing Traveling Salesman (WETS): Introduction to a simple evolutionary solution for the problem. 771-776
  
• Shinkyu Jeong, Shoichi Hasegawa, Koji Shimoyama, Shigeru Obayashi:
  Development and investigation of efficient GA/PSO-hybrid algorithm applicable to real-world design optimization. 777-784
  
• Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Bijaya K. Panigrahi, Ajith Abraham:
  A micro-bacterial foraging algorithm for high-dimensional optimization. 785-792
  
• Andreas Herzog, Sebastian Handrich, Christoph S. Herrmann:
  Multi-objective parameter estimation of biologically plausible neural networks in different behavior stages. 793-799
  
• Casey S. Greene, Jeff Kiralis, Jason H. Moore:
  Nature-inspired algorithms for the genetic analysis of epistasis in common human diseases: Theoretical assessment of wrapper vs. filter approaches. 800-807
  
• Dominique Chu, David J. Barnes:
  Group selection vs multi-level selection: Some example models using evolutionary games. 808-814
  
• Zhiwei Lin, Yu Huang, Hui Wang, Sally I. McClean:
  Neighborhood counting for financial time series forecasting. 815-821
  
• Timo Mantere:
  Image ordering by cellular genetic algorithms with TSP and ICA. 822-829
  
• Daniel Molina, Manuel Lozano, Francisco Herrera:
  Memetic algorithm with Local search chaining for large scale continuous optimization problems. 830-837
  
• Kengo Takano, Masafumi Hagiwara:
  An integrated framework of hybrid evolutionary computations. 838-845
  
• Sousuke Tooyama, Hiroshi Hasegawa:
  Adaptive Plan system with Genetic Algorithm using the Variable Neighborhood range Control. 846-853
  
• Fengming Ye, S. Mahn, Lutao Wang, Shinji Eto, Kotaro Hirasawa:
  Genetic Network Programming with Reconstructed Individuals. 854-859
  
• Shiu Yin Yuen, Shing Wa Leung:
  Genetic programming that ensures programs are original. 860-866
  
• Leonardo Goliatt da Fonseca, Helio J. C. Barbosa, Afonso C. C. Lemonge:
  A similarity-based surrogate model for expensive evolutionary optimization with fixed budget of simulations. 867-874
  
• Wei-neng Chen, Yuan Shi, Jun Zhang:
  An ant colony optimization algorithm for the time-varying workflow scheduling problem in grids. 875-880
  
• Tomislav Rolich, Darko Grundler:
  Minimizing environmental electromagnetic field pollution adjusting transmitter parameters using genetic algorithm. 881-887
  
• Antonio LaTorre, José María Peña, Santiago Muelas, Carlos Pascual:
  Quality measures to adapt the participation in MOS. 888-895
  
• Cristian Ruican, Mihai Udrescu, Lucian Prodan, Mircea Vladutiu:
  Genetic algorithm based quantum circuit synthesis with adaptive parameters control. 896-903
  
• Peter R. Lewis, Paul Marrow, Xin Yao:
  Evolutionary market agents and heterogeneous service providers: Achieving desired resource allocations. 904-910
  
• Jésus J. Souza Santos, Diogo B. Oliveira, Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H. C. Takahashi, Elson J. Silva, Oriane M. Neto:
  Designing a multilayer microwave heating device using a multiobjective genetic algorithm. 911-917
  
• Elhadj Benkhelifa, Gabriel Dragffy, Anthony G. Pipe, Mokhtar Nibouche:
  Design innovation for real world applications, using evolutionary algorithms. 918-924
  
• Eng-Yeow Cheu, See-Kiong Ng, Hiok Chai Quek:
  An Interval type-2 Neural Fuzzy Inference System based on Piaget's action-cognitive paradigm. 925-932
  
• Shahryar Rahnamayan, G. Gary Wang:
  Center-based sampling for population-based algorithms. 933-938
  
• Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto:
  The diversity/accuracy dilemma: An empirical analysis in the context of heterogeneous ensembles. 939-946
  
• Shouichi Matsui, Seiji Yamada:
  Performance evaluation of a genetic algorithm for optimizing hierarchical menus. 947-954
  
• Rodolfo P. Araujo, André Gustavo dos Santos, José Elias Claudio Arroyo:
  Genetic algorithm and local search for just-in-time job-shop scheduling. 955-961
  
• Guihua Bo, Min Huang, W. H. Ip, Xingwei Wang:
  The harmony search for the routing optimization in fourth party logistics with time windows. 962-967
  
• Yiyuan Gong, Alex S. Fukunaga:
  Fault tolerance in distributed genetic algorithms with tree topologies. 968-975
  
• Kazi Shah Nawaz Ripon, Mia Nazmul Haque Siddique:
  Evolutionary multi-objective clustering for overlapping clusters detection. 976-982
  
• Tapabrata Ray, Xin Yao:
  A cooperative coevolutionary algorithm with Correlation based Adaptive Variable Partitioning. 983-989
  
• Thomas Hanne, Rolf Dornberger, Lukas Frey:
  Multiobjective and preference-based decision support for rail crew rostering. 990-996
  
• Ender Özcan, Yuri Bykov, Murat Birben, Edmund K. Burke:
  Examination timetabling using late acceptance hyper-heuristics. 997-1004
  
• M. T. Al-Hajri, Mohammad A. Abido:
  Assessment of Genetic Algorithm selection, crossover and mutation techniques in reactive power optimization. 1005-1011
  
• J. Talebi, H. Badri, F. Ghaderi, E. Khosravian:
  An efficient scatter search algorithm for minimizing earliness and tardiness penalties in a single-machine scheduling problem with a common due date. 1012-1018
  
• Hanafy M. Omar:
  Developing integrated fuzzy guidance law for aerodynamic homing missiles by genetic algorithm. 1019-1024
  
• Andreas Wolf, Andreas Herzog, Soeren Westerholz, Bernd Michaelis, Thomas B. Voigt:
  Improving fuzzy-based axon segmentation with genetic algorithms: The IEEE Congress on Evolutionary Computation. 1025-1031
  
• C. Andrey, L. Andrey, Chertok:
  Tracking feature points: Dynamic programming algorithm. 1032-1037
  
• Yun Zhang, Hong Fu, Zhen Liang, Xiaoyu Zhao, Zheru Chi, David Dagan Feng, Xinbo Zhao:
  Eye movement data modeling using a genetic algorithm. 1038-1044
  
• Ziyang Zhen, Daobo Wang, Meng Li:
  Improved particle swarm optimizer based on adaptive random learning approach. 1045-1048
  
• Hasan Mujtaba, Abdul Rauf Baig:
  Retaining the lessons from past for better performance in a dynamic multiple task environment. 1049-1056
  
• Lifang Wang, Jianchao Zeng, Yi Hong:
  Estimation of Distribution Algorithm based on copula theory. 1057-1063
  
• Andrew J. Payne, Susan Stepney:
  Representation and structural biases in CGP. 1064-1071
  
• Stephen L. Smith, Michael A. Lones:
  Implicit Context Representation Cartesian Genetic Programming for the assessment of visuo-spatial ability. 1072-1078
  
• Serge Kernbach, Eugen Meister, Oliver Scholz, Raja Humza, Jens Liedke, Leonardo Ricotti, Jaouhar Jemai, Jiri Havlik, Wenguo Liu:
  Evolutionary robotics: The next-generation-platform for on-line and on-board artificial evolution. 1079-1086
  
• Jan Drchal, Jan Koutník, Miroslav Snorek:
  HyperNEAT controlled robots learn how to drive on roads in simulated environment. 1087-1092
  
• Amiram Moshaiov, Ariela Ashram:
  Multi-objective evolution of robot neuro-controllers. 1093-1100
  
• Yunji Chen, Ke Tang, Tianshi Chen:
  A stochastic method for controlling the scaling parameters of Cauchy mutation in fast evolutionary programming. 1101-1107
  
• Lucas S. Batista, Frederico G. Guimarães, Jaime A. Ramírez:
  A Differential Mutation operator for the archive population of multi-objective evolutionary algorithms. 1108-1115
  
• Johnny C. Y. Lai, F. H. Frank Leung, Sai-Ho Ling:
  A new Differential Evolution with wavelet theory based mutation operation. 1116-1122
  
• G. Baele, Nicolas Bredeche, Evert Haasdijk, Steven Maere, N. Michiels, Yves Van de Peer, Thomas Schmickl, C. Schwarzer, Ronald Thenius:
  Open-ended on-board Evolutionary Robotics for robot swarms. 1123-1130
  

Evolutionary Multiobjective Optimization III

• José C. Ferreira, Carlos M. Fonseca, António Gaspar-Cunha:
  Assessing the quality of the relation between scalarizing function parameters and solutions in multiobjective optimization. 1131-1136
  
• Jonathan Tate, Benjamin Woolford-Lim, Iain Bate, Xin Yao:
  Comparing design of experiments and evolutionary approaches to multi-objective optimisation of sensornet protocols. 1137-1144
  
• Flávio V. C. Martins, Eduardo G. Carrano, Elizabeth F. Wanner, Ricardo H. C. Takahashi, Geraldo Robson Mateus:
  A dynamic multiobjective hybrid approach for designing Wireless Sensor Networks. 1145-1152
  
• Kalyanmoy Deb, Ankur Sinha:
  Constructing test problems for bilevel evolutionary multi-objective optimization. 1153-1160
  

Evolutionary Robotics II

• Jean-Baptiste Mouret, Stéphane Doncieux:
  Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity. 1161-1168
  
• Kuang-Yuan Chen, Peter A. Lindsay, Peter J. Robinson, Hussein A. Abbass:
  A hierarchical conflict resolution method for multi-agent path planning. 1169-1176
  
• Gautam Roy, Hyunyoung Lee, Jennifer L. Welch, Yuan Zhao, Vijitashwa Pandey, Deborah L. Thurston:
  A distributed pool architecture for genetic algorithms. 1177-1184
  
• Ye-Hoon Kim, Jong-Hwan Kim:
  Multiobjective quantum-inspired evolutionary algorithm for fuzzy path planning of mobile robot. 1185-1192
  

System Design II

• Jose M. Cabello, Jose M. Cejudo, Mariano Luque, Francisco Ruiz, Kalyanmoy Deb, Rahul Tewari:
  Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms. 1193-1200
  
• Leonardo Bruno de Sá, Pedro F. Vieira, Antonio Carneiro Mesquita:
  Evolutionary synthesis of low-sensitivity antenna matching networks using adjacency matrix representation. 1201-1208
  
• Brad J. Alexander, Michael J. Gratton:
  Constructing an optimisation phase using Grammatical Evolution. 1209-1216
  
• Colin C. Olson, Jon M. Nichols, Joseph V. Michalowicz, Frank Bucholtz:
  A method for testing driven dynamical systems with evolved excitations and its application to phase-locked loops. 1217-1223
  

Differential Evolution III

• Donald Davendra, Ivan Zelinka, Godfrey C. Onwubolu:
  Clustered population Differential Evolution approach to Quadratic Assignment Problem. 1224-1231
  
• Yu Wang, Bin Li, Xuexiao Lai:
  Variance priority based cooperative co-evolution differential evolution for large scale global optimization. 1232-1239
  
• Millie Pant, Musrrat Ali, Ajith Abraham:
  Mixed Mutation Strategy Embedded Differential Evolution. 1240-1246
  
• Mehmet Fatih Tasgetiren, Quan-Ke Pan, Ponnuthurai N. Suganthan, Yun-Chia Liang:
  A differential evolution algorithm with variable parameter search for real-parameter continuous function optimization. 1247-1254
  

Evolutionary Multiobjective Optimization IV

• Jacomine Grobler, Andries Petrus Engelbrecht:
  Hybridizing PSO and DE for improved vector evaluated multi-objective optimization. 1255-1262
  
• Lucas Marti, Jesús García, Antonio Berlanga, José Manuel Molina:
  An approach to stopping criteria for multi-objective optimization evolutionary algorithms: The MGBM criterion. 1263-1270
  
• Michael S. Bittermann, Özer Ciftcioglu, I. Sevil Sariyildiz:
  A cognitive system based on fuzzy information processing and multi-objective evolutionary algorithm. 1271-1280
  
• Deon Garrett:
  Plateau Connection Structure and multiobjective metaheuristic performance. 1281-1288
  

Evolutionary Computation in Bioinformatics and Computational Biology II

• Casey S. Greene, Bill C. White, Jason H. Moore:
  Sensible initialization using expert knowledge for genome-wide analysis of epistasis using genetic programming. 1289-1296
  
• César Manuel Vargas Benítez, Heitor Silvério Lopes:
  A parallel genetic algorithm for protein folding prediction using the 3D-HP Side Chain model. 1297-1304
  
• Pawel Widera, Jonathan M. Garibaldi, Natalio Krasnogor:
  Evolutionary design of the energy function for protein structure prediction. 1305-1312
  
• Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Ujjwal Maulik:
  Analysis of microarray data using multiobjective variable string length genetic fuzzy clustering. 1313-1319
  

BioComputing & Complex Adaptive Systems II

• Ekhine Irurozki, José Antonio Lozano:
  A new preprocessing procedure for the haplotype inference problem. 1320-1327
  
• Emmanouil Hourdakis, Panos E. Trahanias:
  A framework for automating the construction of computational models. 1328-1335
  
• Lawrence Beadle, Colin G. Johnson:
  Semantically driven mutation in genetic programming. 1336-1342
  
• Daniel A. Ashlock, Justin Schonfeld, James Humphrey:
  Robustness in evolved grid structures. 1343-1350
  

Differential Evolution IV

• Chuan-Kang Ting, Chih-Hui Huang:
  Varying Number of Difference Vectors in Differential Evolution. 1351-1358
  
• Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
  Evolutionary adaptation of the differential evolution control parameters. 1359-1366
  
• Tetsuyuki Takahama, Setsuko Sakai:
  A comparative study on kernel smoothers in Differential Evolution with estimated comparison method for reducing function evaluations. 1367-1374
  
• Efrén Mezura-Montes, A. G. Palomeque-Ortiz:
  Parameter control in Differential Evolution for constrained optimization. 1375-1382
  

Applications of Evolutionary Algorithms

• Zhi-hui Zhan, Xin-ling Feng, Yue-jiao Gong, Jun Zhang:
  Solving the flight frequency programming problem with particle swarm optimization. 1383-1390
  
• Tiago L. Pereira, Eduardo G. Carrano, Ricardo H. C. Takahashi, Elizabeth F. Wanner, Oriane M. Neto:
  Continuous-space embedding genetic algorithm applied to the Degree Constrained Minimum Spanning Tree Problem. 1391-1398
  
• Mohamad Hadi Afshar, Maryam Rohani:
  Optimal operation of pipeline systems using Genetic Algorithm. 1399-1405
  
• Hui Yang, Mourad Elhadef, Amiya Nayak, Xiaofan Yang:
  An evolutionary approach to system-level fault diagnosis. 1406-1413
  
• Xiaomin Hu, Jun Zhang:
  An intelligent testing system embedded with an ant colony optimization based test composition method. 1414-1421
  
• Luis Guillermo Osorio-Hernández, Efrén Mezura-Montes, Nareli Cruz Cortés, Francisco Rodríguez-Henríquez:
  A Genetic Algorithm with repair and local search mechanisms able to find minimal length addition chains for small exponents. 1422-1429
  

Theoretical Foundations of EC

• Daniel Schreckling, Paolo Dini:
  Distributed online evolution: An algebraic problem? 1430-1439
  
• Katherine Malan, Andries Petrus Engelbrecht:
  Quantifying ruggedness of continuous landscapes using entropy. 1440-1447
  
• K. Graham, Robert Cattral, Franz Oppacher:
  The effect of preadaptation epoch length on performance in an exaptive genetic algorithm. 1448-1454
  
• Pietro Simone Oliveto, Per Kristian Lehre, Frank Neumann:
  Theoretical analysis of rank-based mutation - combining exploration and exploitation. 1455-1462
  
• Claudia Obermaier, Markus Wagner:
  Towards an evolved lower bound for the most circular partition of a square. 1463-1469
  
• Tianshi Chen, Per Kristian Lehre, Ke Tang, Xin Yao:
  When is an estimation of distribution algorithm better than an evolutionary algorithm? 1470-1477
  

Parallel Bio-inspired Optimisation Methods: Algorithms and Applications I

• Alex S. Fukunaga:
  Massively parallel evolution of SAT heuristics. 1478-1485
  
• Andrew Lewis, Gerhard Weis, Marcus Randall, Amir Galehdar, David Thiel:
  Optimising efficiency and gain of small meander line RFID antennas using ant colony system. 1486-1492
  
• You Zhou, Ying Tan:
  GPU-based parallel particle swarm optimization. 1493-1500
  
• Emilio G. Ortíz-García, Lucas Martínez-Bernabeu, Sancho Salcedo-Sanz, Francisco Flórez-Revuelta, Ángel M. Pérez-Bellido, Antonio Portilla-Figueras:
  A Parallel evolutionary algorithm for the hub location problem with fully interconnected backbone and access networks. 1501-1506
  
• Yuji Sato:
  Viral infection + tropism for improving small population performance under noisy environment. 1507-1514
  
• Ian Scriven, Andrew Lewis, Sanaz Mostaghim:
  Dynamic search initialisation strategies for multi-objective optimisation in peer-to-peer networks. 1515-1522
  

Cooperation & Self-Organisation

• Robert E. Smith, Behzad Behzadan:
  Mutual information neuro-evolutionary system (MINES). 1523-1529
  
• Tao Gong, James W. Minett, William S.-Y. Wang:
  Coevolution of language and intentionality sharing. 1530-1537
  
• Matteo Casadei, Mirko Viroli:
  An experience on probabilistic model checking and stochastic simulation to design self-organizing systems. 1538-1545
  
• Xiaodong Li, Xin Yao:
  Tackling high dimensional nonseparable optimization problems by cooperatively coevolving particle swarms. 1546-1553
  
• Geoff S. Nitschke:
  Neuro-Evolution approaches to collective behavior. 1554-1561
  
• Olusegun Olorunda, Andries Petrus Engelbrecht:
  An analysis of heterogeneous cooperative algorithms. 1562-1569
  

Bio-inspired Hardware and Networks

• Jean-Baptiste Mouret, Stéphane Doncieux:
  Evolving modular neural-networks through exaptation. 1570-1577
  
• Min Shi, Boye Annfelt Høverstad:
  PEEC: Evolving efficient connections using Pareto optimality. 1578-1584
  
• Vamsi Kundeti, Sanguthevar Rajasekaran, R. Birge:
  Generalized algorithms for generating balanced modulation codes in protein-based volumetric memories. 1585-1590
  
• James Alfred Walker, James A. Hilder, Andy M. Tyrrell:
  Towards evolving industry-feasible intrinsic variability tolerant CMOS designs. 1591-1598
  
• Zbysek Gajda, Lukás Sekanina:
  Gate-level optimization of polymorphic circuits using Cartesian Genetic Programming. 1599-1604
  

EC in Dynamic and Uncertain Environments III

• Robert Scheffermann, Matthias Bender, Andreas Cardeneo:
  Robust solutions for vehicle routing problems via evolutionary multiobjective optimization. 1605-1612
  
• Hendrik Richter:
  Detecting change in dynamic fitness landscapes. 1613-1620
  
• Hirotaka Kaji, Kokolo Ikeda, Hajime Kita:
  Uncertainty of constraint function in Evolutionary Multi-objective Optimization. 1621-1628
  
• Satoshi Ono, Shigeru Nakayama:
  Multi-Objective Particle Swarm Optimization for robust optimization and its hybridization with gradient search. 1629-1636
  
• Gustavo L. Soares, Frederico G. Guimarães, Carlos A. Maia, Joao A. Vasconcelos, Luc Jaulin:
  Interval Robust Multi-Objective Evolutionary Algorithm. 1637-1643
  
• Nianfeng F. Wang, Y. W. Yang:
  Target geometry matching problem for hybrid genetic algorithm used to design structures subjected to uncertainty. 1644-1651
  

Evolutionary Algorithms based on Probabilistic Models II

• Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
  Analyzing the probability of the optimum in EDAs based on Bayesian networks. 1652-1659
  
• David Wallin, Conor Ryan:
  Using over-sampling in a Bayesian classifier EDA to solve deceptive and hierarchical problems. 1660-1667
  
• Tatiana V. Polushina:
  Estimating optimal stopping rules in the multiple best choice problem with minimal summarized rank via the Cross-Entropy method. 1668-1674
  
• Warin Wattanapornprom, Panuwat Olanviwatchai, Parames Chutima, Prabhas Chongstitvatana:
  Multi-objective Combinatorial Optimisation with Coincidence algorithm. 1675-1682
  
• Jirí Jaros, Josef Schwarz:
  Parallel BMDA with an aggregation of probability models. 1683-1690
  
• Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco:
  Toward a Quantum-Inspired Linear Genetic Programming model. 1691-1698
  

Memetic Algorithms for Hard to Solve Problems

• Yi Mei, Ke Tang, Xin Yao:
  Improved memetic algorithm for Capacitated Arc Routing Problem. 1699-1706
  
• Amitay Isaacs, Tapabrata Ray, Warren Smith:
  Memetic algorithm for dynamic bi-objective optimization problems. 1707-1713
  
• Xiao-Bing Hu, Mark S. Leeson, Evor L. Hines:
  An effective Genetic Algorithm for the network coding problem. 1714-1720
  
• Maren Urselmann, Guido Sand, Sebastian Engell:
  A memetic algorithm for global optimization in chemical process synthesis. 1721-1728
  
• Marek Dlapa:
  Differential Migration: Sensitivity analysis and comparison study. 1729-1736
  
• Robert Cattral, Franz Oppacher, K. J. L. Graham:
  Techniques for evolutionary rule discovery in data mining. 1737-1744
  

Swarm Based Algorithms

• Stephen Chen:
  Locust Swarms - A new multi-optima search technique. 1745-1752
  
• Pavlos Antoniou, Andreas Pitsillides, Tim Blackwell, Andries Petrus Engelbrecht:
  Employing the flocking behavior of birds for controlling congestion in autonomous decentralized networks. 1753-1761
  
• Yannis Marinakis, Magdalene Marinaki:
  A hybrid Honey Bees Mating Optimization algorithm for the Probabilistic Traveling Salesman Problem. 1762-1769
  
• Mihaela Breaban, Lenuta Alboaie, Henri Luchian:
  Guiding users within trust networks using swarm algorithms. 1770-1777
  
• El-Sayed M. El-Alfy:
  Discovering classification rules for email spam filtering with an ant colony optimization algorithm. 1778-1783
  

Hybrid Algorithms I

• Thomas Tometzki, Sebastian Engell:
  A hybrid multiple populations evolutionary algorithm for two-stage stochastic mixed-integer disjunctive programs. 1784-1790
  
• Masoumeh Kheirkhahzadeh, Ahmad Abdollahzadeh Barforoush:
  A hybrid algorithm for the vehicle routing problem. 1791-1798
  
• André Gustavo dos Santos, Geraldo Robson Mateus:
  General hybrid column generation algorithm for crew scheduling problems using genetic algorithm. 1799-1806
  
• Maoguo Gong, Licheng Jiao, Wenping Ma, Ronghua Shang:
  Hybrid Immune Algorithm with intelligent recombination. 1807-1814
  

Collective Evolutionary Search and Optimisation

• Quan-Ke Pan, Ponnuthurai N. Suganthan, Mehmet Fatih Tasgetiren:
  A Harmony Search Algorithm with Ensemble of Parameter Sets. 1815-1820
  
• David Jackson:
  Self-adaptive focusing of evolutionary effort in hierarchical genetic programming. 1821-1828
  
• Marko Privosnik:
  Evolutionary optimization of emergent phenomena in multi-agent systems using heuristic approach for fitness evaluation. 1829-1834
  
• Hyunjung Lee, Byonghwa Oh, Jihoon Yang, Seonho Kim:
  Distributed genetic algorithm using automated adaptive migration. 1835-1840
  
• Megan Hazen, Maya R. Gupta:
  Gradient estimation in global optimization algorithms. 1841-1848
  

EC in Scheduling and Planning I

• Juan C. Quiroz, Sushil J. Louis, Amit Banerjee, Sergiu M. Dascalu:
  Towards creative design using collaborative interactive genetic algorithms. 1849-1856
  
• Xiao-Bing Hu, Ezequiel A. Di Paolo:
  A ripple-spreading Genetic Algorithm for the airport Gate Assignment Problem. 1857-1864
  
• Mohammad A. Abido, Ashraf Elazouni:
  Improved crossover and mutation operators for Genetic-Algorithm project scheduling. 1865-1872
  
• Gabriela Ochoa, José Antonio Vázquez Rodríguez, Sanja Petrovic, Edmund K. Burke:
  Dispatching rules for production scheduling: A hyper-heuristic landscape analysis. 1873-1880
  
• Jana Blaschke, Christian Sebeke, Wolfgang Rosenstiel:
  Using genetic algorithms for planning of ASIC chip-design project flows. 1881-1888
  

Numerical Optimisation

• Fei Peng, Ke Tang, Guoliang Chen, Xin Yao:
  Multi-start JADE with knowledge transfer for numerical optimization. 1889-1895
  
• Shiu Yin Yuen, Chi Kin Chow:
  Continuous non-revisiting genetic algorithm. 1896-1903
  
• David Iclanzan, Béat Hirsbrunner, Michèle Courant, D. Dumitrescu:
  Cooperation in the context of sustainable search. 1904-1911
  
• Dan Oshima, Atsushi Miyamae, Jun Sakuma, Shigenobu Kobayashi, Isao Ono:
  A new real-coded genetic algorithm using the adaptive selection network for detecting multiple optima. 1912-1919
  
• G. S. Sailesh Babu, Devulapalli Bhagwan Das, Chellapilla Patvardhan:
  Solution of real-parameter optimization problems using novel Quantum Evolutionary Algorithm with applications in power dispatch. 1920-1927
  

Performance Assessment of Constrained/Bound constrained multi-objective optimization algorithms II

• Hai-lin Liu, Xueqiang Li:
  The multiobjective evolutionary algorithm based on determined weight and sub-regional search. 1928-1934
  
• Santosh Tiwari, Georges Fadel, Patrick Koch, Kalyanmoy Deb:
  Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems. 1935-1942
  
• Saku Kukkonen, Jouni Lampinen:
  Performance assessment of Generalized Differential Evolution 3 with a given set of constrained multi-objective test problems. 1943-1950
  
• Lin-Yu Tseng, Chun Chen:
  Multiple trajectory search for unconstrained/constrained multi-objective optimization. 1951-1958
  
• Song Gao, Sanyou Y. Zeng, Bo Xiao, Lei Zhang, Yulong Shi, Xin Tian, Yang Yang, Haoqiu Long, Xianqiang Yang, Danpin Yu, Zu Yan:
  An orthogonal multi-objective evolutionary algorithm with lower-dimensional crossover. 1959-1964
  

What is Computational Swarm Intelligence

• Adnan Acan, Ahmet Ünveren:
  A memory-based colonization scheme for particle swarm optimization. 1965-1972
  
• Alberto Moraglio, Julian Togelius:
  Inertial geometric particle swarm optimization. 1973-1980
  
• Luís F. Simões, Tiago C. Pais, Rita Almeida Ribeiro, Gregory Jonniaux, Stephane Reynaud:
  Search methodologies for efficient planetary site selection. 1981-1987
  
• Tim Hendtlass:
  Particle Swarm Optimisation and high dimensional problem spaces. 1988-1994
  
• Isabella Lona Schoeman, Andries Petrus Engelbrecht:
  Scalability of the vector-based Particle Swarm Optimizer. 1995-2001
  

Posters

• Ying Lin, Jun Zhang:
  An Isoline Genetic Algorithm. 2002-2007
  
• Lino A. Costa, Pedro Oliveira:
  Multiobjective optimization: Redundant and informative objectives. 2008-2015
  
• Tommy W. C. Lai, Henry Y. K. Lau:
  Object tracking with an AIS-inspired algorithm. 2016-2021
  
• Siti Fauziah Toha, Mohammad Osman Tokhi:
  Real-coded genetic algorithm for parametric modelling of a TRMS. 2022-2028
  
• Jaroslaw Skaruz, Franciszek Seredynski:
  Detecting web application attacks with use of Gene Expression Programming. 2029-2035
  
• Zohreh HajAbedi:
  A real-coded genetic algorithm for constructive induction. 2036-2042
  
• Jianwei Zhang, Zhijian Wu, Zongyue Wang, Jinglei Guo, Zhangcan Huang:
  Unconstrained gene expression programming. 2043-2048
  
• Alicia Morales-Reyes, Ahmet T. Erdogan, Tughrul Arslan:
  A distributed cellular GA based architecture for real time GPS attitude determination. 2049-2054
  
• Maizura Mokhtar, Ran Bi, Jon Timmis, Andy M. Tyrrell:
  A modified Dendritic Cell Algorithm for on-line error detection in robotic systems. 2055-2062
  
• Nikola B. Serbedzija, Stephen H. Fairclough:
  Biocybernetic loop: From awareness to evolution. 2063-2069
  
• Olivier Brousse, Jérémie Guillot, Thierry Gil, François Grize, Gilles Sassatelli, Juan Manuel Moreno, Jordi Madrenas, Alessandro E. P. Villa, Henri Volken, Michel Robert:
  JubiTool: Unified design flow for the Perplexus SIMD hardware accelerator. 2070-2075
  
• Babita Majhi, Ganapati Panda, Bernard Mulgrew:
  Distributed identification of nonlinear processes using incremental and diffusion type PSO algorithms. 2076-2082
  
• Gary B. Parker, Richard Zbeda:
  Learning area coverage for a self-sufficient colony robot. 2083-2090
  
• M. Naderan Tahan, Mohammad T. Manzuri Shalmani:
  Efficient and safe path planning for a Mobile Robot using genetic algorithm. 2091-2097
  
• Malte Römmermann, Daniel Kühn, Frank Kirchner:
  Robot design for space missions using evolutionary computation. 2098-2105
  
• Rammohan Mallipeddi, Ponnuthurai N. Suganthan, Bo-Yang Qu:
  Diversity enhanced Adaptive Evolutionary Programming for solving single objective constrained problems. 2106-2113
  
• Ki-Baek Lee, Jong-Hwan Kim:
  Particle Swarm Optimization driven by Evolving Elite Group. 2114-2119
  
• Jayasree Chakraborty, Amit Konar, Atulya Nagar, Swagatam Das:
  Rotation and translation selective Pareto optimal solution to the box-pushing problem by mobile robots using NSGA-II. 2120-2126
  
• Dunwei Gong, Li Lu, Ming Li:
  Robot path planning in uncertain environments based on particle swarm optimization. 2127-2134
  
• Muneer Buckley, Adam Ghandar, Zbigniew Michalewicz, Ralf Zurbruegg:
  Evaluation of intelligent quantitative hedge fund management. 2135-2142
  
• Hee-Taek Kim, Sung-Bae Cho:
  Modeling multi-agent labor market based on co-evolutionary computation and game theory. 2143-2148
  
• Eugene Eberbach, Mark Burgin:
  Evolutionary automata as foundation of evolutionary computation: Larry Fogel was right. 2149-2156
  
• Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao:
  Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins. 2157-2164
  

Real-World Applications

• Uday K. Chakraborty:
  An evolutionary computation approach to predicting output voltage from fuel utilization in SOFC stacks. 2165-2171
  
• Luis E. Agustín-Blas, Sancho Salcedo-Sanz, Pablo Vidales, Gilberto A. Urueta, Antonio Portilla-Figueras, Mark Solarski:
  A Hybrid Grouping Genetic Algorithm for citywide ubiquitous WiFi access deployment. 2172-2179
  
• Sameer Alam, Jianjang Tang, Hussein A. Abbass, Chris Lokan:
  The effect of symmetry in representation on scenario-based risk assessment for air-traffic conflict resolution strategies. 2180-2187
  
• Lu Yu, Shingo Mabu, Tiantian Zhang, Shinji Eto, Kotaro Hirasawa:
  Multi-car elevator group supervisory control system using Genetic Network Programming. 2188-2193
  
• Peter A. Whigham, Colin Aldridge, Michel de Lange:
  Constrained evolutionary art: Interactive flag design. 2194-2200
  
• Bernabé Dorronsoro Díaz, Patricia Ruiz, Grégoire Danoy, Pascal Bouvry, Lorenzo J. Tardón:
  Towards connectivity improvement in VANETs using bypass links. 2201-2208
  

Development & Biological Networks II

• Gunnar Tufte:
  The discrete dynamics of developmental systems. 2209-2216
  
• Mariagiovanna Mazzapioda, Angelo Cangelosi, Stefano Nolfi:
  Evolving morphology and control: A distributed approach. 2217-2224
  
• Till Steiner, Jens Trommler, Martin Brenn, Yaochu Jin, Bernhard Sendhoff:
  Global shape with morphogen gradients and motile polarized cells. 2225-2232
  
• Sara Montagna, Mirko Viroli:
  A computational framework for modelling multicellular biochemistry. 2233-2240
  
• Michal Bidlo, Zdenek Vasícek:
  Investigating gate-level evolutionary development of combinational multipliers using enhanced cellular automata-based model. 2241-2248
  
• James Decraene, George G. Mitchell, Barry McMullin:
  Crosstalk and the cooperation of collectively autocatalytic reaction networks. 2249-2256
  

Hardware Aspects of Bio-inspired Architectures and Systems

• Marcus Vinicius Carvalho da Silva, Nadia Nedjah, Luiza de Macedo Mourelle:
  Evolutionary IP assignment for efficient NoC-based system design using multi-objective optimization. 2257-2264
  
• Xuewen Xia, Yuanxiang Li, Jixiang Zhu:
  A high-quality pseudorandom numbers generator based on twi-layer couple cellular automata. 2265-2272
  
• James A. Hilder, James Alfred Walker, Andy M. Tyrrell:
  Optimising variability tolerant standard cell libraries. 2273-2280
  
• Tüze Kuyucu, Martin Trefzer, Julian Francis Miller, Andy M. Tyrrell:
  Task decomposition and evolvability in intrinsic evolvable hardware. 2281-2287
  
• André Stauffer, Joël Rossier:
  Self-organizing configurable bit slice processors. 2288-2293
  
• Girma S. Tewolde, Darrin M. Hanna, Richard E. Haskell:
  Accelerating the performance of particle swarm optimization for embedded applications. 2294-2300
  

Evolutionary Computation in Space and Air II

• Dario Izzo, Marek Rucinski, Christos Ampatzis:
  Parallel global optimisation meta-heuristics using an asynchronous island-model. 2301-2308
  
• Jacob A. Englander, Bruce A. Conway, Bradley J. Wall:
  Optimal strategies found using genetic algorithms for deflecting hazardous near-earth objects. 2309-2315
  
• Christian M. Chilan, Bruce A. Conway:
  Using genetic algorithms for the construction of a space mission automaton. 2316-2323
  
• Zhili Tang, Jacques Périaux, Gabriel Bugeda, Eugenio Onate:
  Lift maximization with uncertainties for the optimization of high lift devices using Multi-Criterion Evolutionary Algorithms. 2324-2331
  
• Andreas Weber, Stefanos Fasoulas, Klaus Wolf:
  Generating optimised satellite payload operation schedules with Evolutionary Algorithms. 2332-2339
  
• Massimiliano Vasile, Edmondo A. Minisci, Marco Locatelli:
  A dynamical system perspective on evolutionary heuristics applied to space trajectory optimization problems. 2340-2347
  

EC in Finance and Economics

• Asunción Mochón, Yago Sáez, Pedro Isasi, José Luis Gómez Barroso:
  Testing bidding strategies in the clock-proxy auction for selling radio spectrum: A Genetic Algorithm approach. 2348-2353
  
• Francisco Flórez-Revuelta, José Manuel Casado-Díaz, Lucas Martínez-Bernabeu:
  Adaptive evolutionary algorithms for the delineation of local labour markets. 2354-2360
  
• Andrei A. Lukyanitsa, Sergei V. Nosov, Alexei G. Shishkin:
  Risk minimization with self-organizing maps for mutual fund investment. 2361-2365
  
• Sameer Kumar Singh, Gitika Chadha, Ruppa K. Thulasiram, Parimala Thulasiraman:
  Ant Colony Optimization to price exotic options. 2366-2373
  
• Cristóbal Luque, David Quintana, José María Valls, Pedro Isasi:
  Two-layered evolutionary forecasting for IPO underpricing. 2374-2378
  
• Yan Chen, Shingo Mabu, Etsushi Ohkawa, Kotaro Hirasawa:
  Constructing portfolio investment strategy based on Time Adapting Genetic Network Programming. 2379-2386
  

Uncertainty Noise and Surrogate Methods

• Karla Taboada, Shingo Mabu, Eloy Gonzales, Kaoru Shimada, Kotaro Hirasawa:
  Genetic Network Programming for fuzzy association rule-based classification. 2387-2394
  
• Xiaoyan Sun, Dun-Wei Gong, Xiaoping Ma:
  Directed fuzzy graph-based surrogate model-assisted interactive genetic algorithms with uncertain individual's fitness. 2395-2402
  
• Swagatam Das, Archana Chowdhury, Ajith Abraham:
  A Bacterial Evolutionary Algorithm for automatic data clustering. 2403-2410
  
• Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Botond Virginas:
  Fuzzy clustering based Gaussian Process Model for large training set and its application in expensive evolutionary optimization. 2411-2415
  
• Yu Nakano, Hideyuki Takagi:
  Influence of fitness quantization noise on the performance of interactive PSO. 2416-2422
  

Encoding, Operators and Parameter Tuning

• Alex S. Fukunaga, Satoshi Tazoe:
  Combining multiple representations in a genetic algorithm for the multiple knapsack problem. 2423-2430
  
• Charles Stan-Bishop, Luigi Barone, R. Lyndon While:
  Visualisation of Building Blocks in Evolutionary Algorithms. 2431-2438
  
• Leon Poladian:
  Improving the success of recombination by varying broodsize and sibling rivalry. 2439-2445
  
• Darren Beaumont, Susan Stepney:
  Grammatical Evolution of L-systems. 2446-2453
  
• Ulf Johansson, Cecilia Sönströd, Tuve Löfström, Rikard König:
  Using genetic programming to obtain implicit diversity. 2454-2459
  
• Chalermsub Sangkavichitr, Prabhas Chongstitvatana:
  Direct and explicit building blocks identification and composition algorithm. 2460-2465
  

Evolutionary Computer Vision

• Shinichi Shirakawa, Tomoharu Nagao:
  Evolutionary image segmentation based on multiobjective clustering. 2466-2473
  
• Jiaxin Ma, Jingqiao Zhang, Jinglu Hu:
  Glomerulus extraction by using genetic algorithm for edge patching. 2474-2479
  
• Wellington Pinheiro dos Santos, Francisco Marcos de Assis, Ricardo Emmanuel de Souza, Priscilla Batista Mendes, Henrique Specht de Souza Monteiro, Havana D. Alves:
  Dialectical non-supervised image classification. 2480-2487
  
• Zhiding Yu, Ruobing Zou, Simin Yu, Huqiong Mou:
  Noise-robust Binary segmentation based on Ant Colony System and Modified Fuzzy C-Means algorithm. 2488-2493
  
• Ammar W. Mohemmed, Mengjie Zhang, Mark Johnston:
  Particle Swarm Optimization based Adaboost for face detection. 2494-2501
  
• Taras Kowaliw, Wolfgang Banzhaf, Nawwaf N. Kharma, Simon Harding:
  Evolving novel image features using Genetic Programming-based image transforms. 2502-2507
  

Evolutionary Multiobjective Optimization V

• Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima:
  Effects of using two neighborhood structures on the performance of cellular evolutionary algorithms for many-objective optimization. 2508-2515
  
• Nikhil Padhye, Jürgen Branke, Sanaz Mostaghim:
  Empirical comparison of MOPSO methods - Guide selection and diversity preservation -. 2516-2523
  
• Elad Denenberg, Amiram Moshaiov:
  Evolutionary search of optimal concepts using a relaxed-pareto-optimality approach. 2524-2531
  

EC in Scheduling and Planning II

• Mohamed Bahy El Bader-El-Den, Riccardo Poli:
  Grammar-based genetic programming for timetabling. 2532-2539
  
• Lukas Frey, Thomas Hanne, Rolf Dornberger:
  Optimizing staff rosters for emergency shifts for doctors. 2540-2546
  
• Sabine Piana, Sebastian Engell:
  Constraint handling in the evolutionary optimization of pipeless chemical batch plants. 2547-2553
  
• Glauber R. Colnago, Paulo B. Correia:
  Multiobjective dispatch of hydrogenerating units using a two-step genetic algorithm method. 2554-2560
  

Hybrid Algorithms II

• Mohammad Ehsan Basiri, Shahla Nemati:
  A novel hybrid ACO-GA algorithm for text feature selection. 2561-2568
  
• Carlos García-Martínez, Manuel Lozano:
  Simulated annealing based on local genetic search. 2569-2576
  
• Ashish Mani, C. Patvardhan:
  A novel hybrid constraint handling technique for evolutionary optimization. 2577-2583
  
• Nathan Thomas, Martin Reed:
  A hybrid algorithm for continuous optimisation. 2584-2589
  

Differential Evolution V

• Kaushik Suresh, Debarati Kundu, Sayan Ghosh, Swagatam Das, Ajith Abraham:
  Automatic clustering with multi-objective Differential Evolution algorithms. 2590-2597
  
• A. Menchaca-Mendez, Carlos A. Coello Coello:
  A new proposal to hybridize the Nelder-Mead method to a differential evolution algorithm for constrained optimization. 2598-2605
  
• Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Tay Jin Chua, Mohammed Abdullah Al-Hajri:
  Differential Evolution Algorithms for the Generalized Assignment problem. 2606-2613
  
• Kiyoharu Tagawa:
  A statistical study of the Differential Evolution based on continuous generation model. 2614-2621
  

Computational Intelligence in Games II

• Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
  On-line neuroevolution applied to The Open Racing Car Simulator. 2622-2629
  
• Matt Parker, Bobby D. Bryant:
  Lamarckian neuroevolution for visual control in the Quake II environment. 2630-2637
  
• Hongliang Liu, Enda Howley, Jim Duggan:
  Optimisation of the Beer Distribution Game with complex customer demand patterns. 2638-2645
  
• Alan Fitzgerald, Clare Bates Congdon:
  RAMP: A rule-based agent for Ms. Pac-Man. 2646-2653
  

EC in Dynamic and Uncertain Environments IV

• Huiyu Zhou, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
  Generalized Time Related Sequential Association rule mining and traffic prediction. 2654-2661
  
• Take Nakama:
  Transition and convergence properties of genetic algorithms applied to fitness functions perturbed concurrently by additive and multiplicative noise. 2662-2669
  
• Irene Moser:
  Hooke-Jeeves revisited. 2670-2676
  
• Tina Yu, Dave Wilkinson:
  Coevolution of simulator proxies and sampling strategies for petroleum reservoir modeling. 2677-2684
  

Particle Swarm II

• Christian L. Müller, Benedikt Baumgartner, Ivo F. Sbalzarini:
  Particle Swarm CMA Evolution Strategy for the optimization of multi-funnel landscapes. 2685-2692
  
• Idris Abd Latiff, M. O. Tokhi:
  Fast convergence strategy for Particle Swarm Optimization using spread factor. 2693-2700
  

BioComputing & Complex Adaptive Systems III

• Chun-Kit Au, Ho-Fung Leung:
  Investigating collaboration methods of random immigrant scheme in cooperative coevolution. 2701-2707
  
• Sylvain Cussat-Blanc, Hervé Luga, Yves Duthen:
  Cell2Organ: Self-repairing artificial creatures thanks to a healthy metabolism. 2708-2715
  
• Cristina Costa Santini, Gunnar Tufte, Pauline C. Haddow:
  Bio-inspired reverse engineering of regulatory networks. 2716-2723
  
• Abraham Prieto, Pilar Caamaño, Francisco Bellas, Richard J. Duro:
  Population dynamics analysis in an agent-based artificial life system for engineering optimization problems. 2724-2731
  

Evolutionary Multiobjective Optimization VI

• Irina Harris, Christine L. Mumford, Mohamed M. Naim:
  The multi-objective uncapacitated facility location problem for green logistics. 2732-2739
  
• Andreas Konstantinidis, Qingfu Zhang, Kun Yang:
  A Subproblem-dependent Heuristic in MOEA/D for the Deployment and Power Assignment Problem in Wireless Sensor Networks. 2740-2747
  
• Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben:
  Improving a multi-objective multipopulation artificial immune network for biclustering. 2748-2755
  
• Hirotaka Kaji, Kokolo Ikeda, Hajime Kita:
  Avoidance of constraint violation for experiment-based evolutionary multi-objective optimization. 2756-2763
  

Evolutionary Robotics III

• Jeff Clune, Benjamin E. Beckmann, Charles Ofria, Robert T. Pennock:
  Evolving coordinated quadruped gaits with the HyperNEAT generative encoding. 2764-2771
  
• Martin Peniak, Davide Marocco, Angelo Cangelosi:
  Co-evolving controller and sensing abilities in a simulated Mars Rover explorer. 2772-2779
  
• Marc Szymanski, Heinz Wörn, Jan Fischer:
  Investigating the effect of pruning on the diversity and fitness of robot controllers based on MDL2 ELEMENT OF during Genetic Programming. 2780-2787
  
• Cédric Hartland, Nicolas Bredeche, Michèle Sebag:
  Memory-enhanced Evolutionary Robotics: The Echo State Network Approach. 2788-2795
  

System Design III

• Garry Greenwood, Makarand Joshi:
  Evolving fault tolerant digital circuitry: Comparing population-based and correlation-based methods. 2796-2801
  
• Urvesh Bhowan, Mark Johnston, Mengjie Zhang:
  Differentiating between individual class performance in Genetic Programming fitness for classification with unbalanced data. 2802-2809
  
• Marcus Furuholmen, Kyrre Glette, Mats Høvin, Jim Torresen:
  Coevolving heuristics for the Distributor's Pallet Packing Problem. 2810-2817
  
• Pekka Siirtola, Perttu Laurinen, Juha Röning:
  Mining an optimal prototype from a periodic time series: An evolutionary computation-based approach. 2818-2824
  

Differential Evolution VI

• Roman Senkerik, Ivan Zelinka, Zuzana Oplatková:
  Comparison of Differential Evolution and SOMA in the task of chaos control optimization - Extended study: Complex target CF. 2825-2832
  
• James Montgomery:
  Differential evolution: Difference vectors and movement in solution space. 2833-2840
  
• Millie Pant, Radha Thangaraj, Ajith Abraham, Crina Grosan:
  Differential Evolution with Laplace mutation operator. 2841-2849
  
• Ricardo Landa Becerra, Ramón Sagarna, Xin Yao:
  An evaluation of Differential Evolution in software test data generation. 2850-2857
  

Parallel Bio-inspired Optimisation Methods: Algorithms and Applications II

• Lourdes Araujo, Juan Julián Merelo Guervós:
  Multikulti algorithm: Using genotypic differences in adaptive distributed evolutionary algorithm migration policies. 2858-2865
  
• Andrew Lewis:
  LoCost: A spatial social network algorithm for multi-objective optimisation. 2866-2870
  
• Chun-Kit Au, Ho-Fung Leung:
  Group extinction heuristics in evolution strategy. 2871-2878
  
• Satoshi Kurihara, Hiroshi Tamaki, Masayuki Numao, Junji Yano, Kouji Kagawa, Tetsuo Morita:
  Traffic congestion forecasting based on pheromone communication model for intelligent transport systems. 2879-2884
  

Evolutionary Computation in Bioinformatics and Computational Biology III

• Mahdi Ebrahimi, E. Ebrahimie, Tahereh Deihimi, A. Delavari, M. Mohammadi-dehcheshmeh:
  Application of neural networks methods to define the most important features contributing to xylanase enzyme thermostability. 2885-2891
  
• Kay C. Wiese, Andrew Hendriks:
  Impact of an enhanced thermodynamic model on RnaPredict, an evolutionary algorithm for RNA secondary structure prediction. 2892-2899
  
• Debasish Datta, Sheli Sinha Chaudhuri, Amit Konar, Atulya Nagar, Swagatam Das:
  A recurrent fuzzy neural model of a gene regulatory network for knowledge extraction using differential evolution. 2900-2906
  
• Anna L. Tyler, Bill C. White, Casey S. Greene, Paul C. Andrews, R. Cowper-Sallari, Jason H. Moore:
  Development and evaluation of an open-ended computational evolution system for the creation of digital organisms with complex genetic architecture. 2907-2912
  

Performance Assessment of Constrained/Bound constrained multi-objective optimization algorithms III

• Minzhong Liu, Xiufen Zou, Yu Chen, Zhijian Wu:
  Performance assessment of DMOEA-DD with CEC 2009 MOEA competition test instances. 2913-2918
  
• Karthik Sindhya, Ankur Sinha, Kalyanmoy Deb, Kaisa Miettinen:
  Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems. 2919-2926
  
• Yuping Wang, Chuangyin Dang, Hecheng Li, Lixia Han, Jingxuan Wei:
  A clustering multi-objective evolutionary algorithm based on orthogonal and uniform design. 2927-2933
  
• Bo-Yang Qu, Ponnuthurai N. Suganthan:
  Multi-objective evolutionary programming without non-domination sorting is up to twenty times faster. 2934-2939
  

Applied Simulations II

• Kamran Ghani, John A. Clark, Yuan Zhan:
  Comparing algorithms for search-based test data generation of Matlab® Simulink® models. 2940-2947
  
• Shahram Tabandeh, Hannah Michalska:
  An evolutionary random search algorithm for double auction markets. 2948-2955
  
• Hiroshi Ninomiya:
  A hybrid global/local optimization technique for robust training of microwave neural network models. 2956-2962
  
• Shyam P. Kodali, Kalyanmoy Deb, Prabhat Munshi, N. N. Kishore:
  Comparing GA with MART to tomographic reconstruction of ultrasound images with and without noisy input data. 2963-2970
  

Posters

• Martijn C. Schut, Evert Haasdijk, Abraham Prieto:
  Is situated evolution an alternative for classical evolution? 2971-2976
  
• Shiu Yin Yuen, Chi Kin Chow:
  A study of operator and parameter choices in non-revisiting genetic algorithm. 2977-2984
  
• Jorge Muñoz, Germán Gutiérrez, Araceli Sanchís:
  Evolutionary techniques in a constraint satisfaction problem: Puzzle Eternity II. 2985-2991
  
• Ziyang Zhen, Daobo Wang, Yuanyuan Liu:
  Improved shuffled frog leaping algorithm for continuous optimization problem. 2992-2995
  
• Carvalho da Silva, J. Souza Santos, Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H. C. Takahashi:
  Semi-supervised training of Least Squares Support Vector Machine using a multiobjective evolutionary algorithm. 2996-3002
  
• Maryam Keyarsalan, Gholam Ali Montazer, Kosar Kazemi:
  Font-based persian character recognition using Simplified Fuzzy ARTMAP neural network improved by fuzzy sets and Particle Swarm Optimization. 3003-3009
  
• Jixiang Zhu, Yuanxiang Li, Wei Zhang, Xuewen Xia, Xing Xu:
  Adaptive combinational logic circuits based on intrinsic Evolvable Hardware. 3010-3017
  
• John Maher, Fearghal Morgan, O. M. Aodha:
  Evolving plastic responses in artificial cell models. 3018-3023
  
• Simon J. Hickinbotham, Edward Clark, Susan Stepney, Tim Clarke, Peter Young:
  Gene regulation in a particle metabolome. 3024-3031
  
• Song Zhan, Julian Francis Miller, Andy M. Tyrrell:
  Obtaining system robustness by mimicking natural mechanisms. 3032-3039
  
• Shahram Golzari, Shyamala Doraisamy, Md Nasir Sulaiman, Nur Izura Udzir:
  Improving the accuracy of AIRS by incorporating real world tournament selection in resource competition phase. 3040-3044
  
• HuiKeng Lau, Jon Timmis, Iain Bate:
  Anomaly detection inspired by immune network theory: A proposal. 3045-3051
  
• Anton J. Flugge, Jon Timmis, Paul S. Andrews, John Moore, Paul M. Kaye:
  Modelling and simulation of granuloma formation in visceral leishmaniasis. 3052-3059
  
• Mohammed El-Abd:
  Preventing premature convergence in a PSO and EDA hybrid. 3060-3066
  
• Pierrick Bruneau, Fabien Picarougne, Marc Gelgon:
  Incremental semi-supervised clustering in a data stream with a flock of agents. 3067-3074
  
• Hongxia Pan, Xiuye Wei:
  Particle swarm optimization algorithm with adaptive velocity and its application to fault diagnosis. 3075-3079
  
• Satyasai Jagannath Nanda, Ganapati Panda, Babita Majhi:
  Development of immunized pso algorithm and its application to hammerstein model identification. 3080-3086
  
• Mingming Zhang, Shuguang Zhao, Xu Wang:
  A hybrid self-adaptive genetic algorithm based on sexual reproduction and baldwin effect for global optimization. 3087-3094
  
• Conrad J. Burden:
  Intensity isotherms and distributions on oligonucleotide microarrays. 3095-3102
  
• Vincenzo Manca, Luca Marchetti:
  XML Representation of Metabolic P Systems. 3103-3110
  
• David Camilo Becerra Romero, Diana Vanegas, Giovanni Cantor, Luis Fernando Niño Vasquez:
  An association rule based approach for biological sequence feature classification. 3111-3118
  
• Heike Trautmann, Jörn Mehnen, Boris Naujoks:
  Pareto-dominance in noisy environments. 3119-3126
  
• Hemant K. Singh, Amitay Isaacs, Trung Thanh Nguyen, Tapabrata Ray, Xin Yao:
  Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems. 3127-3134
  
• Hui Cheng, Shengxiang Yang:
  Genetic algorithms with elitism-based immigrants for dynamic shortest path problem in mobile ad hoc networks. 3135-3140
  
• Nianfeng F. Wang, Y. W. Yang:
  Design structures subjected to uncertainty using wide bezier curve. 3141-3148
  
• Sultan Noman Qasem, Siti Mariyam Hj. Shamsuddin:
  Improving performance of radial basis function network based with particle swarm optimization. 3149-3156
  
• Robert Schaefer, Barbara Barabasz, Maciej Paszynski:
  Solving inverse problems by the multi-deme hierarchic genetic strategy. 3157-3163
  
• Jian-Ping Li, Alastair Wood:
  Random search with species conservation for multimodal functions. 3164-3171
  
• Denton Cockburn, Ziad Kobti:
  The effect of social influence on agent specialization in small-world social networks. 3172-3175
  
• Lutao Wang, Shingo Mabu, Fengming Ye, Kotaro Hirasawa:
  Genetic Network Programming with Rule Accumulation Considering Judgment Order. 3176-3182
  
• Sabariah Julai, M. O. Tokhi, Maziah Mohamad, Idris Abd Latiff:
  Control of a flexible plate structure using particle swarm optimization. 3183-3190
  
• Boye Annfelt Høverstad:
  On the effect of network modularity on evolutionary search. 3191-3198
  
• Boye Annfelt Høverstad, Haaken A. Moe, Min Shi:
  Entropy and mutual information can improve fitness evaluation in coevolution of neural networks. 3199-3206
  
• Chris P. Bowers:
  The importance of search space dimensionality in a computational model of embryogeny. 3207-3212
  
• Oscar J. Romero López, Angélica de Antonio Jiménez:
  Hybridization of cognitive models using evolutionary strategies. 3213-3218
  
• Luis de Marcos, José-Javier Martínez, José Antonio Gutiérrez, Roberto Barchino, José María Gutiérrez:
  A new sequencing method in Web-based education. 3219-3225
  
• Maolin Tang, Colin J. Fidge:
  A genetic algorithm for the multi-source and multi-sink minimum vertex cut problem and its applications. 3226-3233
  
• Tarek Helmy, Zeehasham Rasheed:
  Multi-category bioinformatics dataset classification using extreme learning machine. 3234-3240
  
• Qian Zhang, Mahdi Mahfouf:
  A modified PSO with a dynamically varying population and its application to the multi-objective optimal design of alloy steels. 3241-3248
  
• Eloy Gonzales, Shingo Mabu, Karla Taboada, Kaoru Shimada, Kotaro Hirasawa:
  Mining multi-class datasets using Genetic Relation Algorithm for rule reduction. 3249-3255
  
• Garnett Carl Wilson, Wolfgang Banzhaf:
  Discovery of email communication networks from the Enron corpus with a genetic algorithm using social network analysis. 3256-3263
  
• Lucas de P. Veronese, Renato A. Krohling:
  Swarm's flight: Accelerating the particles using C-CUDA. 3264-3270
  
• Yutaka Maeda, Naoto Matsushita, Seiji Miyoshi, Hiroomi Hikawa:
  On simultaneous perturbation particle swarm optimization. 3271-3276
  
• Martijn C. Schut, Evert Haasdijk, A. E. Eiben:
  What is situated evolution? 3277-3284
  
• Renato A. Krohling, Eduardo Mendel:
  Bare Bones Particle Swarm Optimization with Gaussian or Cauchy jumps. 3285-3291
  
• Frederico G. Guimarães, Elizabeth F. Wanner, Ricardo H. C. Takahashi:
  A quality metric for multi-objective optimization based on Hierarchical Clustering Techniques. 3292-3299
  
• Dongcai Su, Junwei Dong, Zuduo Zheng:
  Shrinking Neighborhood Evolution--a novel stochastic algorithm for numerical optimization. 3300-3305
  
• A. R. Baba-Ali:
  A novel two level evolutionary approach For classification rules extraction. 3306-3313
  
• Marc Szymanski, Lutz Winkler, Davide Laneri, Florian Schlachter, Anne C. van Rossum, Thomas Schmickl, Ronald Thenius:
  SymbricatorRTOS: A flexible and Dynamic framework for bio-inspired robot control systems and evolution. 3314-3321
  
• Carla González, Dolores Blanco, Luis Moreno:
  Optimum robot manipulator path generation using Differential Evolution. 3322-3329
  
• A. Koutsou, Satisfiability He:
  Study of ants' traffic organisation under crowded conditions using individual-based modelling and evolutionary computation. 3330-3337
  
• Daniel A. Ashlock, Jeffrey Tsang:
  Evolved art via control of cellular automata. 3338-3344
  
• Susan Khor:
  Exploring the influence of problem structural characteristics on evolutionary algorithm performance. 3345-3352
  
• Thomas Greve Kristensen:
  Recombining angles in Differential Evolution. 3353-3356