CEC 2011: New Orleans, LA, USA

• 
  Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2011, New Orleans, LA, USA, 5-8 June, 2011. IEEE 2011, ISBN 978-1-4244-7834-7
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  Natalio Krasnogor:
  Darwin's magic: Evolutionary computation in nanoscience, bioinformatics and systems biology. 1-3

Nature Inspired Techniques for Structural Design, Optimization and Identification Problems

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  Amit Banerjee, Issam Abu-Mahfouz:
  Evolutionary algorithm-based parameter identification for nonlinear dynamical systems. 1-5
• 
  Anne Raich, Kyle Fritz:
  Benefits of implicit redundant representation genetic algorithms for conceptual design and damage identification. 6-13
• 
  Masoud Mirmomeni, William F. Punch:
  Co-evolving data driven models and test data sets with the application to forecast chaotic time series. 14-20
• 
  Mouadh Yagoubi, Ludovic Thobois, Marc Schoenauer:
  Asynchronous Evolutionary Multi-Objective Algorithms with heterogeneous evaluation costs. 21-28
• 
  Afonso C. C. Lemonge, Michelli M. Silva, Helio J. C. Barbosa:
  Design optimization of geometrically nonlinear truss structures considering cardinality constraints. 29-36

Estimation of Distribution Approaches to Complex Problems

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  Xianneng Li, Bing Li, Shingo Mabu, Kotaro Hirasawa:
  A novel estimation of distribution algorithm using graph-based chromosome representation and reinforcement learning. 37-44
• 
  Shih-Hsin Chen, Min-Chih Chen:
  Bi-variate artificial chromosomes with genetic algorithm for single machine scheduling problems with sequence-dependent setup times. 45-53
• 
  Cristiano Grijó Pitangui, Gerson Zaverucha:
  Inductive Logic Programming through Estimation of Distribution Algorithm. 54-61
• 
  André Ricardo Gonçalves, Fernando J. Von Zuben:
  Online learning in estimation of distribution algorithms for dynamic environments. 62-69

Ms. Pac-Man vs. Ghost-Team Competition

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  Philipp Rohlfshagen, Simon M. Lucas:
  Ms Pac-Man versus Ghost Team CEC 2011 competition. 70-77

Artificial Bee Colony Algorithm I

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  Junqing Li, Quan-Ke Pan, Shengxian Xie:
  Flexible job shop scheduling problems by a hybrid artificial bee colony algorithm. 78-83
• 
  Celal Ozturk, Dervis Karaboga:
  Hybrid Artificial Bee Colony algorithm for neural network training. 84-88
• 
  Bahriye Akay, Dervis Karaboga:
  Wavelet packets optimization using Artificial Bee Colony algorithm. 89-94
• 
  Tuncay Özcan, Sakir Esnaf:
  A heuristic approach based on artificial bee colony algorithm for retail shelf space optimization. 95-101

Real World Applications I

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  Shawn Aldridge, Brendan Babb, Frank W. Moore, Michael R. Peterson:
  Improved reconstruction of deep space images via genetic algorithms. 102-109
• 
  Haluk Yapicioglu, Alice E. Smith:
  Disservice representation using the Gini coefficient in semi-desirable facility location problems. 110-114
• 
  César Andrés, Luis Llana, Manuel Núñez:
  Self-adaptive fuzzy-timed systems. 115-122

Evolutionary Robotics

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  Helbert E. Espitia, Jorge I. Sofrony:
  Path planning of mobile robots using potential fields and swarms of Brownian particles. 123-129
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  Dun-Wei Gong, Cheng-liang Qi, Yong Zhang, Ming Li:
  Modified particle swarm optimization for odor source localization of multi-robot. 130-136
• 
  Hideru Hiruma, Alex Fukunaga, Kazuki Komiya, Hitoshi Iba:
  Evolving an effective robot tour guide. 137-144
• 
  Alan L. Jennings, Raúl Ordóñez:
  Population based optimization for variable operating points. 145-151
• 
  In-Bae Jeong, Chang-Soo Park, Ki-In Na, Seungbeom Han, Jong-Hwan Kim:
  Particle swarm optimization-based central patter generator for robotic fish locomotion. 152-157

Algorithmic Innovations in Evolution Strategies

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  Giuseppe Cuccu, Faustino J. Gomez, Tobias Glasmachers:
  Novelty-based restarts for evolution strategies. 158-163
• 
  Nobusumi Fukushima, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
  Proposal of distance-weighted exponential natural evolution strategies. 164-171
• 
  Eddy Parkinson, Adam Ghandar, Zbigniew Michalewicz, Andrew Tuson:
  Estimating the reproductive potential of offspring in evolutionary heuristics for combinatorial optimization problems. 172-178
• 
  Takeshi Uchitane, Toshiharu Hatanaka:
  Applying evolution strategies for biped locomotion learning in RoboCup 3D Soccer Simulation. 179-185

Evolutionary Computation in Finance Decision Making

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  Andreas Krause:
  Performance of evolving trading strategies with different discount factors. 186-191
• 
  Dome Lohpetch, David Corne:
  Multiobjective algorithms for financial trading: Multiobjective out-trades single-objective. 192-199
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  João Rafael De Moura Palotti, Thiago Salles, Gisele Lobo Pappa, Marcos André Gonçalves, Wagner Meira Jr.:
  Assessing documents' credibility with genetic programming. 200-207

Hardware Aspects of Bio-Inspired Architectures and Systems

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  Omer Qadir, Yang Jerry Liu, Jon Timmis, Gianluca Tempesti, Andy M. Tyrrell:
  Hardware architecture for a bidirectional hetero-associative Protein Processing Associative Memory. 208-215
• 
  Enrico Heinrich, Ralf Joost, Ralf Salomon:
  Learning from the barn owl auditory system: A bio-inspired localization hardware architecture. 216-221
• 
  Gregor Papa, Tomasz Garbolino:
  Optimal on-line built-in self-test structure for system-reliability improvement. 222-229
• 
  Antonio Gomez Zamorano, Jon Timmis, Andy M. Tyrrell:
  A flexible decentralised communication architecture on a field programmable gate array for swarm system simulations. 230-237

Evolutionary Computer Vision I

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  Daniel L. Atkins, Kourosh Neshatian, Mengjie Zhang:
  A domain independent Genetic Programming approach to automatic feature extraction for image classification. 238-245
• 
  Mahdi Setayesh, Mengjie Zhang, Mark Johnston:
  Edge detection using constrained discrete particle swarm optimisation in noisy images. 246-253
• 
  Wenlong Fu, Mark Johnston, Mengjie Zhang:
  Genetic programming for edge detection: A global approach. 254-261
• 
  Man To Wong, Xiangjian He, Wei-Chang Yeh:
  Image clustering using Particle Swarm Optimization. 262-268
• 
  Zdenek Vasícek, Michal Bidlo:
  Evolutionary design of robust noise-specific image filters. 269-276

Computational Intelligence in Bioinformatics and Computational Biology I

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  Uday Kamath, Kenneth A. De Jong, Amarda Shehu:
  An evolutionary-based approach for feature generation: Eukaryotic promoter recognition. 277-284
• 
  Matthias Becker:
  Design of fault tolerant networks with agent-based simulation of Physarum polycephalum. 285-291
• 
  Ahmadreza Ghaffarizadeh, Kamilia Ahmadi, Nicholas S. Flann:
  Sorting unsigned permutations by reversals using multi-objective evolutionary algorithms with variable size individuals. 292-295

EC on Many-core Architecture to Solve Large-scale Problems I

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  Yuji Sato, Naohiro Hasegawa, Mikiko Sato:
  GPU acceleration for Sudoku solution with genetic operations. 296-303
• 
  Maribel García Arenas, Juan Julián Merelo Guervós, Antonio Miguel Mora, Pedro A. Castillo, Gustavo Romero, Juan Luis Jiménez Laredo:
  Assessing speed-ups in commodity cloud storage services for distributed evolutionary algorithms. 304-311
• 
  Masaharu Munetomo:
  Realizing robust and scalable evolutionary algorithms toward exascale era. 312-317
• 
  Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
  Advanced genetic algorithm to solve MINLP problems over GPU. 318-325

Artificial Bee Colony Algorithm II

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  Selcuk Okdem, Dervis Karaboga, Celal Ozturk:
  An application of Wireless Sensor Network routing based on Artificial Bee Colony Algorithm. 326-330
• 
  Beatriz A. Garro, Humberto Sossa, Roberto Antonio Vázquez:
  Artificial neural network synthesis by means of artificial bee colony (ABC) algorithm. 331-338
• 
  Adalet Öner, Sel Özcan, Derya Dengi:
  Optimization of university course scheduling problem with a hybrid artificial bee colony algorithm. 339-346
• 
  Mehmet Fatih Tasgetiren, Önder Bulut, Mehmet Murat Fadiloglu:
  A discrete artificial bee colony algorithm for the economic lot scheduling problem. 347-353

Real World Applications II

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  Ahmad Faisal Mohamad Ayob, Tapabrata Ray, Warren Smith:
  Scenario-based hydrodynamic design optimization of high speed planing craft for coastal surveillance. 354-361
• 
  David Wilcox, Andrew W. McNabb, Kevin D. Seppi:
  Solving virtual machine packing with a Reordering Grouping Genetic Algorithm. 362-369
• 
  Neil Paiva Tizzo, Juan Manuel Adán Coello, Eleri Cardozo:
  Automatic composition of semantic web services using A-Teams with genetic agents. 370-377
• 
  Leon Poladian:
  A genotype-to-phenotype mapping for microstructured polymer optical fibres. 378-385

Clustering and Data Mining I

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  Rosana Veroneze, Fabrício Olivetti de França, Fernando J. Von Zuben:
  Assessing the performance of a swarm-based biclustering technique for data imputation. 386-393
• 
  Deng Zhang, Shingo Mabu, Feng Wen, Kotaro Hirasawa:
  A sequential subspace face recognition framework using genetic-based clustering. 394-400
• 
  Deepti Dohare, V. Susheela Devi:
  Combination of similarity measures for time series classification using genetic algorithms. 401-408
• 
  Eun Yeong Ahn, Tracy Mullen, John Yen:
  Evolutionary based feature extraction with dynamic mutation. 409-416

Evolvable Hardware and Software

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  John C. Gallagher, Michael W. Oppenheimer:
  An improved evolvable oscillator for all flight mode control of an insect-scale flapping-wing micro air vehicle. 417-425
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  Matthew E. Kijowski, John C. Gallagher, Laurence D. Merkle:
  Improved learning in an evolvable hardware hover controller for an insect scale Flapping-Wing Micro Air Vehicle. 426-431
• 
  Rui Li, Ramin Etemaadi, Michael T. M. Emmerich, Michel R. V. Chaudron:
  An evolutionary multiobjective optimization approach to component-based software architecture design. 432-439
• 
  Paul Bremner, Mohammad Samie, Anthony G. Pipe, Andy M. Tyrrell:
  Multi-objective optimisation of cell-array circuit evolution. 440-446

Fitness Landscapes and Learning

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  Shuhei Kimura, Koki Matsumura:
  Constrained multimodal function optimization using a simple evolutionary algorithm. 447-454
• 
  Felix Dobslaw:
  Iteration-wise parameter learning. 455-462
• 
  Garrison W. Greenwood:
  On the value of operator-induced neighborhoods in fitness landscapes. 463-467
• 
  John A. Doucette, Malcolm I. Heywood:
  Revisiting the Acrobot 'height' task: An example of efficient evolutionary policy search under an episodic goal seeking task. 468-475
• 
  Felicitas Mokom, Ziad Kobti:
  Evolution of artifact capabilities. 476-483

Evolutionary Computer Vision II

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  Luis Gerardo de la Fraga, Gustavo M. Lopez Dominguez:
  Robust detection of several circles or ellipses with heuristics. 484-490
• 
  Hoang Thanh Nguyen, Bir Bhanu:
  Tracking pedestrians with bacterial foraging optimization swarms. 491-495
• 
  Qiao Shi, Andy Song:
  Selective motion detection by Genetic Programming. 496-503
• 
  Jiulei Geng, Jing Liu:
  Image texture classification using a multiagent genetic clustering algorithm. 504-508

Poster Session Monday

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  Moayed Daneshyari, Gary G. Yen:
  Dynamic optimization using cultural based PSO. 509-516
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  Leandro dos Santos Coelho, Diego Luis de Andrade Bernert, Viviana Cocco Mariani:
  A chaotic firefly algorithm applied to reliability-redundancy optimization. 517-521
• 
  Viviana Cocco Mariani, Luiz Guilherme Justi Luvizotto, Carlos Eduardo Klein, Leandro dos Santos Coelho:
  A normative differential evolution approach for estimation of heat transfer coefficient during freezing treatment by inverse analysis. 522-528
• 
  Jésica de Armas, Gara Miranda, Coromoto León:
  Two encoding schemes for a multi-objective Cutting Stock Problem. 529-536
• 
  Omar Paranaiba Vilela Neto, Marco Aurélio Cavalcanti Pacheco:
  A parallel evolutionary algorithm to search for global minima geometries of heterogeneous ab initio atomic clusters. 537-543
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  Omar Paranaiba Vilela Neto, Iury S. Bezerra, André S. Pimentel:
  Evolutionary optimization of sets of basis functions for first-row atoms by using discretization process. 544-549
• 
  Robert C. Green II, Lingfeng Wang, Mansoor Alam, Richard A. Formato:
  Central Force Optimization on a GPU: A case study in high performance metaheuristics using multiple topologies. 550-557
• 
  Liping Jia, Yuping Wang:
  Genetic algorithm based on primal and dual theory for solving multiobjective bilevel linear programming. 558-565
• 
  Igor Rosberg de Medeiros Silva, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
  Solving the light up with Ant Colony Optimization. 566-573
• 
  Danielle N. G. Silva, Luciano D. S. Pacifico, Teresa Bernarda Ludermir:
  An evolutionary extreme learning machine based on group search optimization. 574-580
• 
  Daniel Rivero, Enrique Fernández-Blanco, Julian Dorado, Alejandro Pazos:
  A new signal classification technique by means of Genetic Algorithms and kNN. 581-586
• 
  Daniel Rivero, Enrique Fernández-Blanco, Julian Dorado, Alejandro Pazos:
  Using recurrent ANNs for the detection of epileptic seizures in EEG signals. 587-592
• 
  Paulo Henrique S. Asconavieta, Marco César Goldbarg, Elizabeth Ferreira Gouvea Goldbarg:
  Evolutionary algorithm for the Car Renter Salesman. 593-600
• 
  Lara Menezes, André L. V. Coelho:
  On ensembles of biclusters generated by NichePSO. 601-607
• 
  Muhannad Hijaze, David Corne:
  Distributed evolutionary algorithm topologies with adaptive migration schemes. 608-615
• 
  Marcelo Lotif, André L. V. Coelho:
  Visually inspecting the search behavior of Harmony Search and its variants with Viz3D. 616-623
• 
  Luigi Cardamone, Andrea Mocci, Carlo Ghezzi:
  Dynamic synthesis of program invariants using genetic programming. 624-631
• 
  Fabrício Olivetti de França, Fernando J. Von Zuben:
  Extracting additive and multiplicative coherent biclusters with swarm intelligence. 632-638
• 
  Antonio González-Pardo, David Camacho:
  Analysis of grammatical evolutionary approaches to regular expression induction. 639-646
• 
  José Ignacio Estévez Damas, Pedro Antonio Toledo Delgado, Silvia Alayón:
  Using an induced relational decision tree for rule injection in a learning classifier system. 647-654
• 
  Mohammad Sharif Khan, Ahmad F. M. Ayob, Amitay Isaacs, Tapabrata Ray:
  A novel evolutionary approach for 2D shape matching based on B-spline modeling. 655-661
• 
  Arif Jamal Malik, Waseem Shahzad, Farrukh Aslam Khan:
  Binary PSO and random forests algorithm for PROBE attacks detection in a network. 662-668
• 
  Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
  On scalability of Adaptive Weighted Aggregation for multiobjective function optimization. 669-678
• 
  Roberto Antonio Vázquez:
  Training spiking neural models using cuckoo search algorithm. 679-686
• 
  Masashi Oiso, Toshiyuki Yasuda, Kazuhiro Ohkura, Yoshiyuki Matsumura:
  Accelerating steady-state genetic algorithms based on CUDA architecture. 687-692
• 
  Eulanda Miranda dos Santos, Robert Sabourin:
  Classifier ensembles optimization guided by population oracle. 693-698
• 
  Bado Lee, Ho-Sik Seok, Byoung-Tak Zhang:
  Evolving a population code for multimodal concept learning. 699-706
• 
  Marco Carpentieri:
  On robustness of permutations sequencing operators: Solving satisfiability of random 3 - CNFs by simple crossover. 707-714
• 
  Hector M. Lugo-Cordero, Abigail Fuentes-Rivera, Ratan K. Guha, Eduardo I. Ortiz-Rivera:
  Particle Swarm Optimization for load balancing in green smart homes. 715-720
• 
  Crown Guan Wang, Degang Wu, Kwok Yip Szeto:
  Quasi-parallel genetic algorithms with different communication topologies. 721-727
• 
  Zhu Wang, Rui Yang, Lingfeng Wang, Robert C. Green II, Anastasios I. Dounis:
  A fuzzy adaptive comfort temperature model with grey predictor for multi-agent control system of smart building. 728-735
• 
  Eun Yeong Ahn, Tracy Mullen, John Yen:
  A two-population evolutionary algorithm for feature extraction: Combining filter and wrapper. 736-743
• 
  Chi Keong Goh, Dudy Lim, Learning Ma, Yew-Soon Ong, Partha Sarathi Dutta:
  A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems. 744-749
• 
  Udit Halder, Swagatam Das, Dipankar Maity, Ajith Abraham, Preetam Dasgupta:
  Self adaptive cluster based and weed inspired differential evolution algorithm for real world optimization. 750-756
• 
  Pradipta Ghosh, Hamim Zafar, Swagatam Das, Ajith Abraham:
  Hierarchical dynamic neighborhood based Particle Swarm Optimization for global optimization. 757-764
• 
  Mohammed Nasir, Arnab Kumar Mondal, Soumyadip Sengupta, Swagatam Das, Ajith Abraham:
  An improved Multiobjective Evolutionary Algorithm based on decomposition with fuzzy dominance. 765-772

Computational Intelligence in Bioinformatics and Computational Biology II

• 
  Brian J. Ross:
  Evolution of stochastic bio-networks using summed rank strategies. 773-780
• 
  Daniel Ashlock, Elisabeth Shiller, Colin Lee:
  Comparison of evolved epidemic networks with diffusion characters. 781-788
• 
  Gordon Vansant, Pat Pezzoli, Joseph Monforte, Gary B. Fogel:
  High-throughput toxicological classification of candidate drug compounds using gene expression, evolved neural networks, and a cell-based platform. 789-795

EC on Many-core Architecture to Solve Large-scale Problems II

• 
  Pavel Krömer, Jan Platos, Václav Snásel:
  Differential evolution for the linear ordering problem implemented on CUDA. 796-802
• 
  Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
  Optimization of parallel Genetic Algorithms for nVidia GPUs. 803-811
• 
  Shigeyoshi Tsutsui, Noriyuki Fujimoto:
  Fast QAP solving by ACO with 2-opt local search on a GPU. 812-819
• 
  Yiyuan Gong, Alex Fukunaga:
  Distributed island-model genetic algorithms using heterogeneous parameter settings. 820-827

Computational Intelligence and Games I

• 
  Daniel Ashlock, Sylvia Nguyen:
  Financial control of the evolution of autonomous non-player characters. 828-835
• 
  Elio Piccolo, Giovanni Squillero:
  Adaptive opponent modelling for the iterated prisoner's dilemma. 836-841
• 
  Eduardo Vázquez-Fernández, Carlos A. Coello Coello, Feliu Davino Sagols Troncoso:
  An evolutionary algorithm for tuning a chess evaluation function. 842-848
• 
  Cameron McGuinness, Daniel Ashlock:
  Decomposing the level generation problem with tiles. 849-856

Nature-inspired Constrained Optimization

• 
  Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam:
  GA with a new multi-parent crossover for constrained optimization. 857-864
• 
  Noha M. Hamza, Saber M. Elsayed, Daryl Essam, Ruhul A. Sarker:
  Differential evolution combined with constraint consensus for constrained optimization. 865-872
• 
  Leslie Perez, María Cristina Riff:
  New bounds for the Relaxed Traveling Tournament Problems using an artificial immune algorithm. 873-879

Real World Applications III

• 
  Owen Clancey, Matthew Witten:
  A memetic algorithm for dosimetric optimization in CyberKnife robotic radiosurgical treatment planning. 880-885
• 
  U. ManChon, Chiahsun Ho, Shelby Funk, Khaled Rasheed:
  GART: A genetic algorithm based real-time system scheduler. 886-893
• 
  Alan P. Reynolds, Asaad Abdollahzadeh, David W. Corne, Mike Christie, Brian Davies, Glyn Williams:
  A parallel BOA-PSO hybrid algorithm for history matching. 894-901
• 
  Cem Celal Tutum, Zhun Fan:
  Multi-criteria layout synthesis of MEMS devices using memetic computing. 902-908

Clustering and Data Mining II

• 
  Telmo Menezes:
  Evolutionary modeling of a blog network. 909-916
• 
  Pu Wang, Ke Tang, Edward P. K. Tsang, Xin Yao:
  A Memetic Genetic Programming with decision tree-based local search for classification problems. 917-924
• 
  Zilton Cordeiro Junior, Gisele L. Pappa:
  A PSO algorithm for improving multi-view classification. 925-932
• 
  Rafael V. Carvalho, Gustavo Brunoro, Gisele L. Pappa:
  HCGA: A genetic algorithm for hierarchical classification. 933-940
• 
  Anna Friedlander, Kourosh Neshatian, Mengjie Zhang:
  Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting. 941-948

Emerging Approaches to Large Scale Optimization Problems

• 
  Luigi Malagò, Matteo Matteucci, Giovanni Pistone:
  Stochastic Natural Gradient Descent by estimation of empirical covariances. 949-956
• 
  Luis Martí, Jesús García, Antonio Berlanga, José M. Molina López:
  Indicator-based MONEDA: A comparative study of scalability with respect to decision space dimensions. 957-964
• 
  Lliam B. Leal, Raimir Holanda Filho, Ricardo A. L. Rabelo, Fabio A. S. Borges:
  A hybrid approach based on genetic fuzzy systems for Wireless Sensor Networks. 965-972
• 
  Bing Li, Xianneng Li, Shingo Mabu, Kotaro Hirasawa:
  Variable Size Genetic Network Programming with Binomial Distribution. 973-980

Ant Approaches to Complex Problems

• 
  Yanghui Wu, John A. W. McCall, David Corne:
  Fitness landscape analysis of Bayesian network structure learning. 981-988
• 
  Hannes Mühleisen, Tilman Walther, Robert Tolksdorf:
  Multi-level indexing in a distributed self-organized storage system. 989-994
• 
  Gilbert L. Peterson, Christopher B. Mayer, Kevin Cousin:
  WoLF Ant. 995-1002

Computational Intelligence in Bioinformatics and Computational Biology III

• 
  Md. Kamrul Islam, Madhu Chetty, M. Manzur Murshed:
  Novel local improvement techniques in clustered memetic algorithm for protein structure prediction. 1003-1011
• 
  Ahsan Raja Chowdhury, Madhu Chetty:
  An improved method to infer Gene Regulatory Network using S-System. 1012-1019
• 
  Steven M. Corns:
  On the effects of graph based evolutionary algorithms for training finite state classifiers. 1020-1026

Competition: Testing Evolutionary Algorithms on Real-world Numerical Optimization Problems I

• 
  Antonio LaTorre, Santiago Muelas, José María Peña Sánchez:
  Benchmarking a hybrid DE-RHC algorithm on real world problems. 1027-1033
• 
  Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam:
  GA with a new multi-parent crossover for solving IEEE-CEC2011 competition problems. 1034-1040
• 
  Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam:
  Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems. 1041-1048
• 
  Amit Saha, Tapabrata Ray:
  How does the good old Genetic Algorithm fare at real world optimization? 1049-1056
• 
  Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker:
  An adaptive differential evolution algorithm and its performance on real world optimization problems. 1057-1062

Computational Intelligence and Games II

• 
  Daniel Ashlock, Christopher Kuusela, Monica Cojocaru:
  Shopkeeper strategies in the iterated prisoner's dilemma. 1063-1070
• 
  Gary Parker, Phil Fritzsche:
  Fitness Biasing for evolving an Xpilot combat agent. 1071-1076
• 
  Adam Dziuk, Risto Miikkulainen:
  Creating intelligent agents through shaping of coevolution. 1077-1083
• 
  Phillipa Avery, Julian Togelius, Elvis Alistar, Robert Pieter van Leeuwen:
  Computational intelligence and tower defence games. 1084-1091
• 
  Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Xianshun Chen:
  Towards human-like social multi-agents with memetic automaton. 1092-1099

Art and Music

• 
  Carina M. Viljoen, Geoff S. Nitschke, Willem S. van Heerden:
  Evolution of a fictional dialogue. 1100-1107
• 
  Daniel Ashlock, Joseph A. Brown:
  Fitness functions for searching the Mandelbrot set. 1108-1115
• 
  Joseph A. Brown, Daniel Ashlock, John Orth, Sheridan K. Houghten:
  Autogeneration of fractal photographic mosaic images. 1116-1123
• 
  Carlos M. Fernandes, Carlos Isidoro, Fábio Barata, Agostinho C. Rosa, Juan Julián Merelo Guervós:
  From pherographia to color pherographia: Color sketching with artificial ants. 1124-1131

Real World Applications IV

• 
  Eduardo Segredo, Carlos Segura, Coromoto León:
  A multiobjectivised memetic algorithm for the Frequency Assignment Problem. 1132-1139
• 
  Corrado Coia, Brian J. Ross:
  Automatic evolution of conceptual building architectures. 1140-1147
• 
  Thillainathan Logenthiran, Dipti Srinivasan:
  LRGA for solving profit based generation scheduling problem in competitive environment. 1148-1154
• 
  Philip Hingston, Mike Preuss:
  Red teaming with coevolution. 1155-1163

Algorithmic Evaluations of Genetic Programming

• 
  David F. Barrero, María D. R.-Moreno, Bonifacio Castaño, David Camacho:
  An empirical study on the accuracy of computational effort in Genetic Programming. 1164-1171
• 
  John W. Aleshunas, Cezary Z. Janikow:
  Cost-benefit analysis of using heuristics in ACGP. 1172-1178
• 
  Nguyen Thi Hien, Nguyen Xuan Hoai, Robert Ian (Bob) McKay:
  A study on Genetic Programming with layered learning and incremental sampling. 1179-1185
• 
  Carlton Downey, Mengjie Zhang:
  Execution trace caching for Linear Genetic Programming. 1186-1193

Memetic Algorithms for Complex Problems

• 
  Claudio Fabiano Motta Toledo, Renato Resende Ribeiro de Oliveira, Paulo Morelato França:
  A hybrid heuristic approach to solve the multi level capacitated lot sizing problem. 1194-1201
• 
  Martin Pilát, Roman Neruda:
  ASM-MOMA: Multiobjective memetic algorithm with aggregate surrogate model. 1202-1208
• 
  Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Jonathan H. Chan:
  Classification-assisted memetic algorithms for solving optimization problems with restricted equality constraint function mapping. 1209-1216
• 
  André R. da Cruz, Rodrigo T. N. Cardoso, Elizabeth F. Wanner, Ricardo H. C. Takahashi:
  Using convex quadratic approximation as a local search operator in evolutionary multiobjective algorithms. 1217-1224

Cultural and Immune Approaches to Complex Problems

• 
  Mostafa Z. Ali, Ayad M. Salhieh, Randa T. Abu Snanieh, Robert G. Reynolds:
  Boosting Cultural Algorithms with an incongruous layered social fabric influence function. 1225-1232
• 
  Robert G. Reynolds, Dapeng Liu:
  Multi-objective cultural algorithms. 1233-1241
• 
  Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben:
  A Concentration-based Artificial Immune Network for combinatorial optimization. 1242-1249
• 
  Pablo A. D. Castro, Fernando J. Von Zuben:
  Training multilayer perceptrons with a Gaussian Artificial Immune System. 1250-1257

Evolution of Developmental and Generative Systems

• 
  Malik Nairat, Palle Dahlstedt, Mats G. Nordahl:
  Character evolution approach to generative storytelling. 1258-1263
• 
  Konstantinos Antonakopoulos, Gunnar Tufte:
  A common genetic representation capable of developing distinct computational architectures. 1264-1271
• 
  Till Steiner, Bernhard Sendhoff:
  Evolvability of graph- and Vector Field Embryogeny representations. 1272-1279
• 
  Brent E. Eskridge:
  Extrapolation of regularity using indirect encodings. 1280-1287

Computational Intelligence in Bioinformatics and Computational Biology IV

• 
  Herbert H. Tsang, Christian Jacob:
  RNADPCompare: An algorithm for comparing RNA secondary structures based on image processing techniques. 1288-1295
• 
  David Marco, David Cairns, Carron Shankland:
  Optimisation of process algebra models using evolutionary computation. 1296-1301
• 
  Amin Yazdani Salekdeh, Kay C. Wiese:
  Improving splice-junctions classification employing a novel encoding schema and decision-tree. 1302-1307
• 
  Laurence Rodrigues do Amaral, Estevam R. Hruschka Jr.:
  Transgenic, an operator for evolutionary algorithms. 1308-1314

Competition: Testing Evolutionary Algorithms on Real-world Numerical Optimization Problems II

• 
  Yu Wang, Bin Li, Kaibo Zhang:
  Estimation of distribution and differential evolution cooperation for real-world numerical optimization problems. 1315-1321
• 
  Hemant Kumar Singh, Tapabrata Ray:
  Performance of a hybrid EA-DE-memetic algorithm on CEC 2011 real world optimization problems. 1322-1326
• 
  Peter Korosec, Jurij Silc:
  The Continuous Differential Ant-Stigmergy Algorithm applied to real-world optimization problems. 1327-1334
• 
  Sunith Bandaru, Rupesh Tulshyan, Kalyanmoy Deb:
  Modified SBX and adaptive mutation for real world single objective optimization. 1335-1342

Meta-heuristic Approaches for Global Continuous Optimization

• 
  Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber:
  Curiosity-driven optimization. 1343-1349
• 
  Carlos Alberto Cobos Lozada, Martha Mendoza, Elizabeth León:
  A hyper-heuristic approach to design and tuning heuristic methods for web document clustering. 1350-1358

Real World Applications V

• 
  Rafael Falcón, Marcio Almeida, Amiya Nayak:
  Fault identification with binary adaptive fireflies in parallel and distributed systems. 1359-1366
• 
  Manuel Chica, Oscar Cordón, Sergio Damas:
  Tackling the 1/3 variant of the time and space assembly line balancing problem by means of a multiobjective genetic algorithm. 1367-1374
• 
  Tamirat Abegaz, Gerry V. Dozier, Kelvin S. Bryant, Joshua Adams, Joseph Shelton, Karl Ricanek, Damon L. Woodard:
  SSGA & EDA based feature selection and weighting for face recognition. 1375-1381
• 
  Breno C. Costa, Paulo E. M. de Almeida, Evandro Caldeira:
  Traffic lights timing inside microregion simulator using multiobjective optimization. 1382-1387

Representation and Operators

• 
  Stefan Menzel:
  Evolvable free-form deformation control volumes for evolutionary design optimization. 1388-1395
• 
  Ralph Moritz, Tamara Ulrich, Lothar Thiele, Susanne Bürklen:
  Mutation operator characterization: Exhaustiveness, locality, and bias. 1396-1403
• 
  Seamus Hill, Colm O'Riordan:
  Examining the use of a non-trivial fixed genotype-phenotype mapping in genetic algorithms to induce phenotypic variability over deceptive uncertain landscapes. 1404-1411
• 
  Antoine S. D. Dymond, Andries Petrus Engelbrecht, P. Stephan Heyns:
  The sensitivity of single objective optimization algorithm control parameter values under different computational constraints. 1412-1419

Learning Classifier Systems

• 
  Charalambos Ioannides, Geoff Barrett, Kerstin Eder:
  Improving XCS performance on overlapping binary problems. 1420-1427
• 
  Richard Preen, Larry Bull:
  Arithmetic dynamical genetic programming in the XCSF Learning Classifier System. 1428-1435
• 
  Cecilia Sönströd, Ulf Johansson, Rikard König:
  Evolving accurate and comprehensible classification rules. 1436-1443
• 
  Ulf Johansson, Cecilia Sönströd, Tuve Löfström:
  One tree to explain them all. 1444-1451

TSP and Other Routing Problems

• 
  Jongwon Yoon, Sung-Bae Cho:
  An efficient genetic algorithm with fuzzy c-means clustering for traveling salesman problem. 1452-1456
• 
  Regina M. Azuma, Guilherme Palermo Coelho, Fernando J. Von Zuben:
  Evolutionary multi-objective optimization for the vendor-managed inventory routing problem. 1457-1464

Multi-objective Optimization I

• 
  Hisao Ishibuchi, Naoya Akedo, Hiroyuki Ohyanagi, Yusuke Nojima:
  Behavior of EMO algorithms on many-objective optimization problems with correlated objectives. 1465-1472
• 
  Tsung-Che Chiang, Yung-Pin Lai:
  MOEA/D-AMS: Improving MOEA/D by an adaptive mating selection mechanism. 1473-1480
• 
  Adam Ghandar, Zbigniew Michalewicz:
  Using cellular evolution for diversification of the balance between accurate and interpretable fuzzy knowledge bases for classification. 1481-1488
• 
  Chuan Shi, Zhenyu Yan, Xin Pan, Yanan Cai, Bin Wu:
  Multi-objective decisionmaking in the detection of comprehensive community structures. 1489-1495

Greedy Selection in Evolutionary Computation

• 
  Mehmet Ergezer, Dan Simon:
  Oppositional biogeography-based optimization for combinatorial problems. 1496-1503
• 
  Graham Lee, John Borbone, Gary B. Parker:
  Comparison of a greedy selection operator to tournament selection and a hill climber. 1504-1508
• 
  Gary B. Parker, William T. Tarimo:
  The effects of using a greedy factor in hexapod gait learning. 1509-1514

Autonomous Agent Learning

• 
  Hisashi Handa:
  Dimensionality reduction of scene and enemy information in Mario. 1515-1520
• 
  Martin Allen, Phil Fritzsche:
  Reinforcement learning with adaptive Kanerva coding for Xpilot game AI. 1521-1528
• 
  Gary B. Parker, William T. Tarimo, Michael Cantor:
  Quadruped gait learning using cyclic genetic algorithms. 1529-1534
• 
  David L. Hancock, Gary B. Lamont:
  Multi agent system for network attack classification using flow-based intrusion detection. 1535-1542

Competition: Testing Evolutionary Algorithms on Real-world Numerical Optimization Problems III

• 
  Riyad Alshammari, A. Nur Zincir-Heywood:
  Is machine learning losing the battle to produce transportable signatures against VoIP traffic? 1543-1550
• 
  Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco Ferragud, Juan Manuel Herrero Durá:
  Hybrid DE algorithm with adaptive crossover operator for solving real-world numerical optimization problems. 1551-1556
• 
  Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
  Ensemble differential evolution algorithm for CEC2011 problems. 1557-1564
• 
  Ankush Mandal, Aveek Kumar Das, Prithwijit Mukherjee, Swagatam Das, Ponnuthurai Nagaratnam Suganthan:
  Modified differential evolution with local search algorithm for real world optimization. 1565-1572

Evolutionary Algorithms with Statistical & Machine Learning Techniques

• 
  Carlos Echegoyen, Qingfu Zhang, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
  On the limits of effectiveness in estimation of distribution algorithms. 1573-1580
• 
  Luigi Malagò, Matteo Matteucci, Gabriele Valentini:
  Introducing ℓ1-regularized logistic regression in Markov Networks based EDAs. 1581-1588
• 
  Julio J. Valdés, Catherine Cheung, Weichao Wang:
  Evolutionary computation methods for helicopter loads estimation. 1589-1596
• 
  Luhan Zhou, Aimin Zhou, Guixu Zhang, Chuan Shi:
  An estimation of distribution algorithm based on nonparametric density estimation. 1597-1604

Real World Applications VI

• 
  Antonio López Jaimes, Alfredo Arias Montaño, Carlos A. Coello Coello:
  Preference incorporation to solve many-objective airfoil design problems. 1605-1612
• 
  Paul Walsh, Prasad Gade:
  The use of an aesthetic measure for the evolution of fractal landscapes. 1613-1619
• 
  Mohamad M. Awad, Kenneth A. De Jong:
  Optimization of spectral signatures selection using multi-objective genetic algorithms. 1620-1627
• 
  Sven Tomforde, Andreas Brameshuber, Jörg Hähner, Christian Müller-Schloer:
  Restricted on-line learning in real-world systems. 1628-1635

Innovations in PSO Algorithms

• 
  Jingxuan Wei, Mengjie Zhang:
  A memetic particle swarm optimization for constrained multi-objective optimization problems. 1636-1643
• 
  Wei Chu, Xiaogang Gao, Soroosh Sorooshian:
  Fortify particle swam optimizer (PSO) with principal components analysis: A case study in improving bound-handling for optimizing high-dimensional and complex problems. 1644-1648
• 
  Cedric Seren:
  A hybrid Jumping Particle Swarm Optimization method for high dimensional unconstrained discrete problems. 1649-1656
• 
  Christopher K. Monson:
  Simple adaptive cognition for PSO. 1657-1664

Novel Applications

• 
  Ju-Won Hwang, Youngseol Lee, Sung-Bae Cho:
  Structure evolution of dynamic Bayesian network for traffic accident detection. 1655-1671
• 
  Myriam Abramson, Ian Will, Ranjeev Mittu:
  Hybrid tuning of an evolutionary algorithm for sensor allocation. 1672-1678
• 
  Wen-Chyuan Chiang, Gangshu Cai, Xiaojing Xu, Ganesh Mudunuri, Weihang Zhu:
  Two-stage Tabu - Particle swarm algorithms for the facility layout problem with size constraints. 1679-1686

Evolutionary Computation in Medical Image Analysis

• 
  Antonio LaTorre, Santiago Muelas, José María Peña Sánchez, Roberto Santana, Ángel Merchán-Pérez, José-Rodrigo Rodríguez:
  A differential evolution algorithm for the detection of synaptic vesicles. 1687-1694
• 
  Julien Lepagnot, Amir Nakib, Hamouche Oulhadj, Patrick Siarry:
  Brain cine MRI segmentation based on a multiagent algorithm for dynamic continuous optimization. 1695-1702

Multi-objective Optimization II

• 
  Manuel Blanco Abello, Lam Thu Bui, Zbigniew Michalewicz:
  An adaptive approach for solving dynamic scheduling with time-varying number of tasks - Part I. 1703-1710
• 
  Manuel Blanco Abello, Lam Thu Bui, Zbigniew Michalewicz:
  An adaptive approach for solving dynamic scheduling with time-varying number of tasks - Part II. 1711-1718
• 
  Günter Rudolph:
  On geometrically fast convergence to optimal dominated hypervolume of set-based multiobjective evolutionary algorithms. 1719-1723
• 
  Zhenan He, Gary G. Yen:
  An ensemble method for performance metrics in multiobjective evolutionary algorithms. 1724-1729
• 
  Prakash Shelokar, Arnaud Quirin, Oscar Cordón:
  Subgraph mining in graph-based data using multiobjective evolutionary programming. 1730-1737

Poster Session Tuesday

• 
  Le Thanh Xuan Yen, Deepak Sharma, Dipti Srinivasan, Pindoriya Naran Manji:
  A modified hybrid particle swarm optimization approach for unit commitment. 1738-1745
• 
  Hong Zhang:
  Assessment of an evolutionary particle swarm optimizer with inertia weight. 1746-1753
• 
  Hong Zhang:
  An analysis of multiple particle swarm optimizers with inertia weight with diversive curiosity. 1754-1761
• 
  Anthony S. J. Tjiong, Sildomar T. Monteiro:
  Feature selection with PSO and kernel methods for hyperspectral classification. 1762-1769
• 
  Chih-Li Huo, Tzu-Ying Lai, Tsung-Ying Sun:
  The preliminary study on multi-swarm sharing particle swarm optimization: Applied to UAV path planning problem. 1770-1776
• 
  Jie Li, Changwen Zheng, Xiaohui Hu:
  A hypervolume based approach for minimal visual coverage shortest path. 1777-1784
• 
  Min-Nan Hsieh, Tsung-Che Chiang, Li-Chen Fu:
  A hybrid constraint handling mechanism with differential evolution for constrained multiobjective optimization. 1785-1792
• 
  Yudai Shirasaki, Sho Shimomura, Masaki Sugimoto, Yoko Uwate, Yoshifumi Nishio:
  Effectiveness of guidepost pheromone for Honeybee Colony Optimization. 1793-1798
• 
  Zhengmao Ye, Habib Mohamadian:
  Strengthen accuracy of feature recognition via integration of ant colony detection and adaptive contour tracking. 1799-1804
• 
  Chi-nien Lin, Chih-Li Huo, Shu-Yan Lin, Yu-Hsiang Yu, Tsung-Ying Sun:
  Taguchi-based disturbance with tournament selection to improve on MOPSO. 1805-1810
• 
  Takahiro Tsujimoto, Takuya Shindo, Kenya Jin'no:
  The neighborhood of canonical deterministic PSO. 1811-1817
• 
  Yu-Hsuan Huang, Chuan-Kang Ting:
  Genetic algorithm with path relinking for the multi-vehicle selective pickup and delivery problem. 1818-1825
• 
  Mohamed Khairy, Magda B. Fayek, Elsayed E. Hemayed:
  PSO2: Particle swarm optimization with PSO-based local search. 1826-1832
• 
  Sheng-Ta Hsieh, Shih-Yuan Chiu, Shi-Jim Yen:
  Sharing mutation genetic algorithm for solving multi-objective problems. 1833-1839
• 
  Nizamul Morshed, Madhu Chetty:
  Reconstructing genetic networks with concurrent representation of instantaneous and time-delayed interactions. 1840-1847
• 
  Mohsen Mousavi, Shaikh Hoque, Shahryar Rahnamayan, Ibrahim Dincer, Greg F. Naterer:
  Optimal design of an air-cooling system for a Li-Ion battery pack in Electric Vehicles with a genetic algorithm. 1848-1855
• 
  Elhadj Benkhelifa, Mansour Moniri, Ashutosh Tiwari, Alfonso G. De Rueda:
  Evolutionary multi-objective design optimisation of energy harvesting MEMS: The case of a Piezoelectric. 1856-1863
• 
  Jingyu Zhang, Shiping Chen, David Levy, Yongzhong Lu:
  Feedback loop mechanisms based particle swarm optimization with neighborhood topology. 1864-1871
• 
  Eduardo Mojica-Nava, Nicanor Quijano:
  A replicator dynamics weighted control technique for a DC-DC converter. 1872-1878
• 
  Edwin Chao Shi, F. H. Frank Leung, Johnny C. Y. Lai:
  An adaptive differential evolution with unsymmetrical mutation. 1879-1886
• 
  Ping-Lin Chen, Ming-Chin Yang, Tsung-Ying Sun:
  PSO-based on-line tuning PID controller for setpoint changes and load disturbance. 1887-1894
• 
  Paulo Parracho, Rui Ferreira Neves, Nuno Horta:
  Trading with optimized uptrend and downtrend pattern templates using a genetic algorithm kernel. 1895-1901
• 
  Rodica Ioana Lung, Dumitru Dumitrescu:
  A new evolutionary approach to minimax problems. 1902-1905
• 
  Hailin Liu, Fangqing Gu:
  A improved NSGA-II algorithm based on sub-regional search. 1906-1911
• 
  Antonino Feitosa Neto, Anne M. P. Canuto, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
  Optimization techniques for the selection of members and attributes in ensemble systems. 1912-1919
• 
  Pedro P. B. de Oliveira, Mateus Interciso:
  Ternary representation improves the search for binary, one-dimensional density classifier cellular automata. 1920-1926
• 
  Luis A. Scola, Oriane Magela Neto, Ricardo H. C. Takahashi, Sergio A. A. G. Cerqueira:
  Multi-objective optimal multiple reservoir operation. 1927-1933
• 
  Guillermo Leguizamón, Carlos A. Coello Coello:
  A Multi-Region Differential Evolution approach for continuous optimization problems. 1934-1940
• 
  Saurav Ghosh, Subhrajit Roy, Swagatam Das, Ajith Abraham, Sk. Minhazul Islam:
  Peak-to-average power ratio reduction in OFDM systems using an adaptive differential evolution algorithm. 1941-1949
• 
  Sk. Minhazul Islam, Saurav Ghosh, Swagatam Das, Ajith Abraham, Subhrajit Roy:
  A Modified Discrete Differential Evolution based TDMA scheduling scheme for many to one communications in wireless sensor networks. 1950-1957

Innovations in Evolutionary Programming

• 
  Victor M. Landassuri-Moreno, John A. Bullinaria:
  Biasing the evolution of modular neural networks. 1958-1965
• 
  Tatiana V. Polushina, Georgy Sofronov:
  Change-point detection in biological sequences via genetic algorithm. 1966-1971

Differential Evolution Approaches to Complex Problems

• 
  Rammohan Mallipeddi, Giovanni Iacca, Ponnuthurai Nagaratnam Suganthan, Ferrante Neri, Ernesto Mininno:
  Ensemble strategies in Compact Differential Evolution. 1972-1977
• 
  Jorge Sebastian Hernández-Domínguez, Gregorio Toscano Pulido:
  A comparison on the search of particle swarm optimization and differential evolution on multi-objective optimization. 1978-1985
• 
  Xiaofen Lu, Ke Tang, Xin Yao:
  Classification-assisted Differential Evolution for computationally expensive problems. 1986-1993
• 
  Paulo Sérgio Prampero, Romis Ribeiro Faissol Attux:
  Magnetic particle swarm optimization with estimation of distribution. 1994-2001

Evolutionary Games

• 
  Arash Shaban-Nejad, Volker Haarslev:
  An abstract representation model for evolutionary analysis of multi-agent interactions. 2002-2009
• 
  Garrison W. Greenwood, Shubham Chopra:
  A numerical analysis of the evolutionary iterated snowdrift game. 2010-2016
• 
  Antonio Fernández-Ares, Antonio Miguel Mora, Juan Julián Merelo Guervós, Pablo García-Sánchez, Carlos M. Fernandes:
  Optimizing player behavior in a real-time strategy game using evolutionary algorithms. 2017-2024
• 
  Kai Olav Ellefsen:
  Dynamic robot scheduling using a genetic algorithm. 2025-2032

Evolutionary Computation in Dynamic and Uncertain Environments

• 
  Carlos R. B. Azevedo, Aluizio F. R. Araújo:
  Generalized immigration schemes for dynamic evolutionary multiobjective optimization. 2033-2040
• 
  Sanyou Zeng, Shizhong Chen, Jiang Zhao, Aimin Zhou, Zhengjun Li, Hongyong Jing:
  Dynamic constrained multi-objective model for solving constrained optimization problem. 2041-2046
• 
  Mardé Helbig, Andries Petrus Engelbrecht:
  Archive management for dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation. 2047-2054

Real World Applications VII

• 
  Tiril Anette Langfeldt Rødland:
  Classifying glyphs by combining evolution and learning. 2055-2062
• 
  Duncan Anthony Coulter, Elizabeth M. Ehlers:
  Biologically inspired obsolescence management in mobile agent systems: A dynamic, service oriented approach. 2063-2070
• 
  Aniesha Alford, Caresse Hansen, Gerry V. Dozier, Kelvin S. Bryant, John C. Kelly, Tamirat Abegaz, Karl Ricanek, Damon L. Woodard:
  GEC-based multi-biometric fusion. 2071-2074
• 
  Douglas Mota Dias, Mauricio Pamplona Pires, Omar Paranaiba Vilela Neto:
  Self-assembly quantum dots growth prediction by quantum-inspired linear genetic programming. 2075-2082

Evolved Neural Networks and Numerical Optimization

• 
  James J. Q. Yu, Albert Y. S. Lam, Victor O. K. Li:
  Evolutionary artificial neural network based on Chemical Reaction Optimization. 2083-2090
• 
  Kento Uemura, Shun-ichi Kinoshita, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
  A new framework taking account of multi-funnel functions for Real-coded Genetic Algorithms. 2091-2098

Multi-objective Optimization III

• 
  Wesam Herbawi, Michael Weber:
  Comparison of multiobjective evolutionary algorithms for solving the multiobjective route planning in dynamic multi-hop ridesharing. 2099-2106
• 
  Mohsen Davarynejad, Jafar Rezaei, Jos L. M. Vrancken, Jan van den Berg, Carlos A. Coello Coello:
  Accelerating convergence towards the optimal pareto front. 2107-2114
• 
  Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos A. Coello Coello, Eduardo Rodriguez-Tello:
  Effective ranking + speciation = Many-objective optimization. 2115-2122
• 
  Amit Saha, Tapabrata Ray, Warren Smith:
  Towards practical evolutionary robust multi-objective optimization. 2123-2130

Evolutionary Computation Theory

• 
  Kent McClymont, Ed Keedwell:
  Benchmark multi-objective optimisation test problems with mixed encodings. 2131-2138
• 
  Alan J. Lockett, Risto Miikkulainen:
  Measure-theoretic evolutionary annealing. 2139-2146
• 
  Michael T. M. Emmerich, André H. Deutz, Jan Willem Klinkenberg:
  Hypervolume-based expected improvement: Monotonicity properties and exact computation. 2147-2154
• 
  Alan Díaz-Manríquez, Gregorio Toscano Pulido, Wilfrido Gómez-Flores:
  On the selection of surrogate models in evolutionary optimization algorithms. 2155-2162

Engineering Applications I

• 
  Jon Spangenberg, Cem Celal Tutum, Jesper Henri Hattel, Nicolas Roussel, Mette Rica Geiker:
  Optimization of casting process parameters for homogeneous aggregate distribution in self-compacting concrete: A feasibility study. 2163-2169
• 
  Anupam Trivedi, Naran M. Pindoriya, Dipti Srinivasan, Deepak Sharma:
  Improved multi-objective evolutionary algorithm for day-ahead thermal generation scheduling. 2170-2177
• 
  Salomão Sampaio Madeiro, Edson Galvao, Celso Cavellucci, Christiano Lyra, Fernando J. Von Zuben:
  Simultaneous capacitor placement and reconfiguration for loss reduction in distribution networks by a hybrid genetic algorithm. 2178-2185
• 
  Liu Huideng, Qiu Arui:
  Space active noise control system design with multi-objective genetic algorithms. 2186-2192

Complex Networks and Evolutionary Computation I

• 
  Babak Amiri, Liaquat Hossain, John W. Crawford:
  An efficient multiobjective evolutionary algorithm for community detection in social networks. 2193-2199
• 
  Camelia Chira, Anca Gog:
  Fitness evaluation for overlapping community detection in complex networks. 2200-2206
• 
  Jeffrey Naruchitparames, Mehmet Hadi Gunes, Sushil J. Louis:
  Friend recommendations in social networks using genetic algorithms and network topology. 2207-2214

Differential Evolution II

• 
  Tetsuyuki Takahama, Setsuko Sakai:
  Efficient nonlinear optimization by differential evolution with a rotation-invariant local sampling operation. 2215-2222
• 
  Uday K. Chakraborty, Swagatam Das, Travis E. Abbott:
  Clustering in mobile ad hoc networks with differential evolution. 2223-2228
• 
  Nasimul Noman, Danushka Bollegala, Hitoshi Iba:
  An adaptive differential evolution algorithm. 2229-2236

Evolutionary Games and Multi-agent Systems I

• 
  Salem Fawaz Adra, Mariam Kiran, Phil McMinn, Neil Walkinshaw:
  A multiobjective optimisation approach for the dynamic inference and refinement of agent-based model specifications. 2237-2244
• 
  Abbas Sarraf Shirazi, Sebastian von Mammen, Christian Jacob:
  Hierarchical self-organized learning in agent-based modeling of the MAPK signaling pathway. 2245-2251
• 
  Belal Al-Khateeb, Graham Kendall:
  The importance of look-ahead depth in evolutionary checkers. 2252-2258
• 
  Lutao Wang, Shingo Mabu, Kotaro Hirasawa:
  Genetic Network Programming with updating rule accumulation. 2259-2266

Evolutionary Computation in Network Optimization

• 
  Natã Goulart da Silva, Sérgio Ricardo de Souza, Luiz Gustavo Dias, Thiago F. Noronha:
  Biased random-key genetic algorithm for fiber installation in Optical Network Optimization. 2267-2271
• 
  Miguel Rocha, Tiago Sá, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio:
  Multiobjective Evolutionary Algorithms for intradomain routing optimization. 2272-2279
• 
  Jing-Hui Zhong, Jun Zhang:
  Energy-efficient local wake-up scheduling in wireless sensor networks. 2280-2284
• 
  Adrian Schröder, Clemens Wrzodek, Johannes Wollnik, Andreas Dräger, Dierk Wanke, Kenneth W. Berendzen, Andreas Zell:
  Inferring transcriptional regulators for sets of co-expressed genes by multi-objective evolutionary optimization. 2285-2292

Biometrics, Bioinformatics and Biomedical Applications I

• 
  Chris Miller, Frank W. Moore, Brendan Babb, Michael R. Peterson:
  Improved reconstruction of quantized CT scans via genetic algorithms. 2293-2299
• 
  Camelia Chira:
  A hybrid evolutionary approach to protein structure prediction with lattice models. 2300-2306
• 
  Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregorio Toscano Pulido:
  Comparing alternative energy functions for the HP model of protein structure prediction. 2307-2314
• 
  Sameh Kessentini, Dominique Barchiesi, Thomas Grosges, Marc Lamy de la Chapelle:
  Particle swarm optimization and evolutionary methods for plasmonic biomedical applications. 2315-2320

Heuristics and Hyper Heuristics

• 
  Rodrigo Pasti, Fernando J. Von Zuben, Renato Dourado Maia, Leandro Nunes de Castro:
  Heuristics to avoid redundant solutions on population-based multimodal continuous optimization. 2321-2328
• 
  Lam Thu Bui, Stephen Baker, Axel Bender, Hussein A. Abbass, Michael Barlow, Ruhul A. Sarker:
  A grid-based heuristic for two-dimensional packing problems. 2329-2336
• 
  Jacomine Grobler, Andries Petrus Engelbrecht, Graham Kendall, V. S. S. Yadavalli:
  Investigating the impact of alternative evolutionary selection strategies on multi-method global optimization. 2337-2344
• 
  Azadeh Alimadad, Vahid Dabbaghian, Suraj K. Singh, Herbert H. Tsang:
  Modeling HIV spread through sexual contact using a cellular automaton. 2345-2350

Multi-objective Optimization IV

• 
  Julien Legriel, Scott Cotton, Oded Maler:
  On universal search strategies for multi-criteria optimization using weighted sums. 2351-2358
• 
  Lucas S. Batista, Felipe Campelo, Frederico G. Guimarães, Jaime A. Ramírez:
  A comparison of dominance criteria in many-objective optimization problems. 2359-2366
• 
  Saúl Zapotecas Martínez, Alfredo Arias Montaño, Carlos A. Coello Coello:
  A nonlinear simplex search approach for multi-objective optimization. 2367-2374
• 
  Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
  Adaptive Weighted Aggregation 2: More scalable AWA for multiobjective function optimization. 2375-2382

Coevolutionary Systems

• 
  Fanchao Zeng, James Decraene, Malcolm Yoke-Hean Low, Wentong Cai, Philip Hingston:
  Studies on Pareto-based multi-objective competitive coevolutionary dynamics. 2383-2390
• 
  Daniel Rothman, Sean Luke, Keith Sullivan:
  Do multiple trials help Univariate methods? 2391-2398
• 
  Daniel Le Ly, Hod Lipson:
  Trainer selection strategies for coevolving rank predictors. 2399-2406
• 
  Maksud Ibrahimov, Arvind Mohais, Sven Schellenberg, Zbigniew Michalewicz:
  Comparison of different evolutionary algorithms for global supply chain optimisation and parameter analysis. 2407-2414
• 
  Yun Wen, Hua Xu:
  A cooperative coevolution-based pittsburgh learning classifier system embedded with memetic feature selection. 2415-2422

Engineering Applications II

• 
  Laurent Dumas, Mohammed El Rhabi, Gilles Rochefort:
  An evolutionary approach for blind deconvolution of barcode images with nonuniform illumination. 2423-2428
• 
  Mehdi Salmani Jelodar, Sebastian Steiger, Abhijeet Paul, Gerhard Klimeck:
  Model development for lattice properties of gallium arsenide using parallel genetic algorithm. 2429-2435
• 
  Mohammad R. Raeesi N., Ziad Kobti:
  A Machine Operation Lists based Memetic Algorithm for Job Shop Scheduling. 2436-2443
• 
  Jan Braun, Johannes Krettek, Frank Hoffmann, Torsten Bertram:
  Structure and parameter identification of nonlinear systems with an evolution strategy. 2444-2451

Poster Session Wednesday

• 
  Natalia Flora de Lima, Teresa Bernarda Ludermir:
  Frankenstein PSO applied to neural network weights and architectures. 2452-2456
• 
  Yu Wang, Bin Li, Zhen He:
  Enhancing differential evolution with effective evolutionary local search in memetic framework. 2457-2464
• 
  Hamed Sajjadi Kia, Cristinel Ababei:
  A new fault-tolerant and congestion-aware adaptive routing algorithm for regular Networks-on-Chip. 2465-2472
• 
  Yafei Xing, Shingo Mabu, Kotaro Hirasawa:
  Pruning generalized rules for stock markets accumulated by Genetic Network Programming with Rule Accumulation. 2473-2479
• 
  Zhanghui Chen, Ping Luo:
  QISA: Incorporating quantum computation into Simulated Annealing for optimization problems. 2480-2487
• 
  Yao-Chen Chuang, Chyi-Tsong Chen:
  A study on real-coded genetic algorithm for process optimization using ranking selection, direction-based crossover and dynamic mutation. 2488-2495
• 
  Hecheng Li, Yuping Wang:
  A real-binary coded genetic algorithm for solving nonlinear bilevel programming with nonconvex objective functions. 2496-2500
• 
  Takuya Shindo, Takuya Kurihara, Hiroyuki Taguchi, Kenya Jin'no:
  Particle swarm optimization for single phase PWM inverters. 2501-2505
• 
  Ki-Baek Lee, Jong-Hwan Kim:
  Multi-objective particle swarm optimization with preference-based sorting. 2506-2513
• 
  Weicai Zhong, Yang Zhang, Jing Liu:
  Evolutionary dynamics of continuous strategy games on social networks under weak selection: A preliminary study. 2514-2518
• 
  Dipti Srinivasan, Ly Trong Trung:
  Co-evolutionary bidding strategies for buyers in electricity power markets. 2519-2526
• 
  Deepak Sharma, Dipti Srinivasan, Anupam Trivedi:
  Multi-agent approach for profit based unit commitment. 2527-2533
• 
  Nobuo Namura, Koji Shimoyama, Shinkyu Jeong, Shigeru Obayashi:
  Kriging/RBF-hybrid response surface method for highly nonlinear functions. 2534-2541
• 
  Xinfang Ji, Dun-Wei Gong, Xiaoping Ma:
  Solving optimization problems with intervals and hybrid indices using evolutionary algorithms. 2542-2549
• 
  Kazuaki Masuda, Hirofumi Yokota, Kenzo Kurihara:
  An empirical study on the search directions of differential evolution. 2550-2557
• 
  Fumiya Kudo, Tomohiro Yoshikawa, Takeshi Furuhashi:
  A study on analysis of design variables in Pareto solutions for conceptual design optimization problem of hybrid rocket engine. 2558-2562
• 
  Zhi-hui Zhan, Jun Zhang:
  Orthogonal learning particle swarm optimization for power electronic circuit optimization with free search range. 2563-2570
• 
  Francisco Fernández, Francisco Chávez de la O, Rafael Alcalá, Francisco Herrera:
  Musical genre classification by means of Fuzzy Rule-Based Systems: A preliminary approach. 2571-2577
• 
  Yoshitaka Kameya, Chativit Prayoonsri:
  Pattern-based preservation of building blocks in genetic algorithms. 2578-2585
• 
  Amir Ahmadi-Javid:
  Anarchic Society Optimization: A human-inspired method. 2586-2592
• 
  Khedidja Seridi, Laetitia Jourdan, El-Ghazali Talbi:
  Multi-objective evolutionary algorithm for biclustering in microarrays data. 2593-2599

Complex Networks and Evolutionary Computation II

• 
  Remzi Celebi, Hürevren Kiliç:
  Mobile Prisoner's Dilemma game played on diverse habitats. 2600-2604
• 
  Shuguang Li, Jianping Yuan:
  The modularity in freeform evolving neural networks. 2605-2610
• 
  Eun-Sol Kim, JungWoo Ha, Wi Hoon Jung, Joon Hwan Jang, Jun Soo Kwon, Byoung-Tak Zhang:
  Mutual information-based evolution of hypernetworks for brain data analysis. 2611-2617

Differential Evolution III

• 
  Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam:
  Integrated strategies differential evolution algorithm with a local search for constrained optimization. 2618-2625
• 
  Hui Wang, Shahryar Rahnamayan, Zhijian Wu:
  Adaptive Differential Evolution with variable population size for solving high-dimensional problems. 2626-2632
• 
  Nasimul Noman, Hitoshi Iba:
  Solving dynamic economic dispatch problems using cellular differential evolution. 2633-2640
• 
  Ali Esmailzadeh, Shahryar Rahnamayan:
  Enhanced Differential Evolution using center-based sampling. 2641-2648
• 
  Lina Jia, Sanyou Zeng, Dong Zhou, Aimin Zhou, Zhengjun Li, Hongyong Jing:
  Dynamic multi-objective differential evolution for solving constrained optimization problem. 2649-2654

Evolutionary Games and Multi-agent Systems II

• 
  Réka Nagy, Dumitru Dumitrescu, Rodica Ioana Lung:
  Fuzzy equilibria for games involving n > 2 players. 2655-2661
• 
  Ernesto Sánchez, Giovanni Squillero, Alberto Paolo Tonda:
  Group evolution: Emerging synergy through a coordinated effort. 2662-2668
• 
  Juan Julián Merelo Guervós, Antonio Miguel Mora, Carlos Cotta:
  Optimizing worst-case scenario in evolutionary solutions to the MasterMind puzzle. 2669-2676
• 
  Anthony Knittel, Terry Bossomaier:
  Formation and activation of feature hierarchies under reinforcement. 2677-2684

Artificial Ecology and Artificial Life

• 
  Daniel Ashlock, Justin Schonfeld, Paul D. McNicholas:
  Translation tables: A genetic code in a evolutionary algorithm. 2685-2692
• 
  Joel Lehman, Kenneth O. Stanley:
  Improving evolvability through novelty search and self-adaptation. 2693-2700
• 
  Kobus de Bruyn, Geoff Nitschke, Willem S. van Heerden:
  Evolutionary algorithms and Particle Swarm Optimization for artificial language evolution. 2701-2708

Biometrics, Bioinformatics and Biomedical Applications II

• 
  Márcio Dorn, Luciana S. Buriol, Luís C. Lamb:
  A hybrid genetic algorithm for the 3-D protein structure prediction problem using a path-relinking strategy. 2709-2716
• 
  In Soo Oh, Yun-Geun Lee, Robert Ian (Bob) McKay:
  Simulating chemical evolution. 2717-2724
• 
  Aniesha Alford, Khary Popplewell, Gerry V. Dozier, Kelvin S. Bryant, John C. Kelly, Joshua Adams, Tamirat Abegaz, Joseph Shelton, Karl Ricanek, Damon L. Woodard:
  A comparison of GEC-based feature selection and weighting for multimodal biometric recognition. 2725-2728

Emerging Areas

• 
  Preethika Kumar, Steven R. Skinner, Sahar Daraeizadeh:
  Nearest-neighbor architecture to overcome effects of qubit precessions in gate operations. 2729-2734
• 
  Ji-Hoon Lee, Bado Lee, Joon Shik Kim, Russell J. Deaton, Byoung-Tak Zhang:
  A molecular evolutionary algorithm for learning hypernetworks on simulated DNA computers. 2735-2742

Multi-objective Optimization V

• 
  Carlos R. B. Azevedo, Aluizio F. R. Araújo:
  Correlation between diversity and hypervolume in evolutionary multiobjective optimization. 2743-2750
• 
  Stefan Eppe, Manuel López-Ibáñez, Thomas Stützle, Yves De Smet:
  An experimental study of preference model integration into multi-objective optimization heuristics. 2751-2758
• 
  Emilia Tantar, Alexandru-Adrian Tantar, Pascal Bouvry:
  On dynamic multi-objective optimization, classification and performance measures. 2759-2766
• 
  Jian Xiong, Yingwu Chen, Jing Liu, Hussein A. Abbass:
  An evolutionary multi-objective scenario-based approach for Stochastic Resource Investment Project Scheduling. 2767-2774

Engineering Applications III

• 
  Daniel M. Muñoz, Carlos H. Llanos, Leandro dos Santos Coelho, Mauricio Ayala-Rincón:
  Opposition-based shuffled PSO with passive congregation applied to FM matching synthesis. 2775-2781
• 
  Sunith Bandaru, Cem Celal Tutum, Kalyanmoy Deb, Jesper Henri Hattel:
  Higher-level innovization: A case study from Friction Stir Welding process optimization. 2782-2789
• 
  Yoshitaka Sakurai, Kouhei Takada, Natsuki Tsukamoto, Takashi Onoyama, Rainer Knauf, Setsuo Tsuruta:
  A simple optimization method based on Backtrack and GA for delivery schedule. 2790-2797
• 
  Ahmed M. A. Haidar, Hazizulden Abdul Aziz, Khaled M. G. Noman, Rashad Al-Jawfi:
  An intelligent placement of distributed capacitance based on loss minimization. 1-5