CEC 2010: Barcelona, Spain

Classification, Clustering, and Data Mining

• Yanghui Wu, John A. W. McCall, David W. Corne:
  Two novel Ant Colony Optimization approaches for Bayesian network structure learning. 1-7
  
• Benjamin Auffarth:
  Clustering by a genetic algorithm with biased mutation operator. 1-8
  
• Junio de Freitas, Gisele L. Pappa, Altigran Soares da Silva, Marcos André Gonçalves, Edleno Silva de Moura, Adriano Veloso, Alberto H. F. Laender, Moisés G. de Carvalho:
  Active Learning Genetic programming for record deduplication. 1-8
  
• Huiyu Zhou, Shingo Mabu, Xianneng Li, Kaoru Shimada, Kotaro Hirasawa:
  Generalized rule extraction and traffic prediction in the optimal route search. 1-8
  

Differential Evolution

• Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan:
  Constrained multi-objective optimization algorithm with diversity enhanced differential evolution. 1-5
  
• Alfredo Milani, Valentino Santucci:
  Asynchronous Differential Evolution. 1-7
  
• James Montgomery:
  Crossover and the different faces of differential evolution searches. 1-8
  
• James Montgomery, Stephen Chen:
  An analysis of the operation of differential evolution at high and low crossover rates. 1-8
  

Grammars in Natural Computing I

• Eoin Murphy, Michael O'Neill, Edgar Galván López, Anthony Brabazon:
  Tree-adjunct grammatical evolution. 1-8
  
• Germán Terrazas, Natalio Krasnogor:
  Grammatical rules for the automated construction of heuristics. 1-8
  
• David Fagan, Miguel Nicolau, Michael O'Neill, Edgar Galván López, Anthony Brabazon, Seán McGarraghy:
  Investigating mapping order in piGE. 1-7
  
• John Mark Swafford, Michael O'Neill:
  An examination on the modularity of grammars in grammatical evolutionary design. 1-8
  

Engineering Applications I

• Filipe M. Ferreira, Paulo F. de Almeida, Carlos Henggeler Antunes, Henrique J. A. da Silva:
  Reconstruction of the non-minimum phase response of chirped fiber Bragg gratings using an adaptive genetic algorithm. 1-8
  
• Cem Celal Tutum, Jesper Henri Hattel:
  A multi-objective optimization application in Friction Stir Welding: Considering thermo-mechanical aspects. 1-8
  
• Andrea Pirisi, Marco Mussetta, Giambattista Gruosso, Riccardo Enrico Zich:
  Optimization of a linear generator for sea-wave energy conversion by means of a hybrid evolutionary algorithm. 1-6
  
• Fang Liu, Maoguo Gong, Jingjing Ma, Licheng Jiao, Wei Zhang:
  Optimizing detector distribution in V-detector negative selection using a constrained multiobjective immune algorithm. 1-8
  

Computational Intelligence Approaches to Process Mining and Optimisation

• Michal Walicki, Diogo R. Ferreira:
  Mining sequences for patterns with non-repeating symbols. 1-8
  
• Laura Villanova, Paolo Falcaro, Davide Carta, Irene Poli, Rob J. Hyndman, Kate Smith-Miles:
  Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling. 1-8
  
• Andrea Burattin, Alessandro Sperduti:
  Automatic determination of parameters' values for Heuristics Miner++. 1-8
  
• Kate Smith-Miles, Rafiqul M. D. Islam:
  Meta-learning for data summarization based on instance selection method. 1-8
  

Poster Session I

• Yu Wang, Bin Li:
  Two-stage based ensemble optimization for large-scale global optimization. 1-8
  
• Ehsan Kamalloo, Mohammad Saniee Abadeh:
  An artificial immune system for extracting fuzzy rules in credit scoring. 1-8
  
• Anthony Brabazon, Jane Cahill, Peter Keenan, Daniel Walsh:
  Identifying online credit card fraud using Artificial Immune Systems. 1-7
  
• Alejandro Flores-Méndez, Manuel Bernal-Urbina:
  Dynamic signature verification through the Longest Common Subsequence Problem and Genetic Algorithms. 1-6
  
• Jayakanth Jayachandran, Steven M. Corns:
  A comparative study of diversity in evolutionary algorithms. 1-7
  
• Emmanuel Sapin:
  Evolutionary heuristics for automatic discoveries of cellular automata simulating AND gates. 1-8
  
• Kwangro Joo, Tae-Kyeong Lee, Sanghoon Baek, Se-Young Oh:
  Generating topological map from occupancy grid-map using virtual door detection. 1-6
  
• Bill Bigge Inman, R. Harvey:
  Evolvable mechanics: Hardware tools for evolutionary robotics. 1-7
  
• Jose A. Fernandez-Leon, Tom Froese:
  What is the relationship between behavioral robustness and distributed mechanisms of cognitive behavior? 1-8
  
• Jelena Sanko, Jaan Penjam:
  Differential evolutionary approach guided by the Functional Constraint Network to solve program synthesis problem. 1-8
  
• Kumlachew M. Woldemariam, Gary G. Yen:
  Constrained optimization using artificial immune system. 1-8
  
• Jong-Min Park, Hyun-Chul Choi, Se-Young Oh:
  Non-rigid 3D face shape reconstruction using a genetic algorithm. 1-6
  
• Mohammad Nabi Omidvar, Xiaodong Li, Zhenyu Yang, Xin Yao:
  Cooperative Co-evolution for large scale optimization through more frequent random grouping. 1-8
  
• Jan Larres, Mengjie Zhang, Will N. Browne:
  Using unrestricted loops in genetic programming for image classification. 1-8
  
• Ginny Y. Wong, Frank H. Leung:
  Predicting protein-ligand binding site with support vector machine. 1-5
  
• Kit Yan Chan, Hailong Zhu, Ching Lau, Tharam Singh Dillon, Sai-Ho Ling:
  Determination of chemo-responses for osteosarcoma using a hybrid evolutionary algorithm. 1-5
  

Numerical Optimization I

• Chun-Kit Au, Ho-Fung Leung:
  Improving CMA-ES by random evaluation on the minor eigenspace. 1-8
  
• Shinichi Shirakawa, Noriko Yata, Tomoharu Nagao:
  Evolving search spaces to emphasize the performance difference of real-coded crossovers using genetic programming. 1-8
  
• Yu Taguchi, Yuta Kanamori, Hidehiro Nakano, Akihide Utani, Arata Miyauchi, Hisao Yamamoto:
  A competitive PSO based on evaluation with priority for finding plural solutions. 1-6
  
• Norziana Aminudin, Titik Khawa Abdul Rahman, Ismail Musirin, Zuhaina Zakaria:
  Optimal Reactive Power Planning for load margin improvement using Multi Agent Immune EP. 1-8
  

Representations and Operators I

• Ramnik Arora, Rupesh Tulshyan, Kalyanmoy Deb:
  Parallelization of binary and real-coded genetic algorithms on GPU using CUDA. 1-8
  
• Konrad Sickel, Joachim Hornegger:
  Genetic programming for Expert Systems. 1-8
  
• Rikard König, Ulf Johansson, Tuve Löfström, Lars Niklasson:
  Improving GP classification performance by injection of decision trees. 1-8
  
• Robin Harper:
  GE, explosive grammars and the lasting legacy of bad initialisation. 1-8
  

Grammars in Natural Computing II

• Peter A. Whigham, Rasika Withanawasam, Timothy Crack, I. M. Premachandra:
  Evolving trading strategies for a limit-order book generator. 1-8
  
• James McDermott, Jonathan Byrne, John Mark Swafford, Michael O'Neill, Anthony Brabazon:
  Higher-order functions in aesthetic EC encodings. 1-8
  
• Vinh Bui, Hussein A. Abbass, Axel Bender:
  Evolving stories: Grammar evolution for automatic plot generation. 1-8
  
• Piotr Pietron, Olgierd Unold:
  Language evolution, social phenomena. 1-8
  

Engineering Applications II

• Danil V. Prokhorov:
  Multi-agent framework for remote diagnostics. 1-8
  
• Lídice Camps Echevarría, Orestes Lianes Santiago, Antônio José da Silva Neto:
  An approach for Fault Diagnosis based on bio-inspired strategies. 1-7
  
• Cristian Perfumo, John K. Ward, Julio H. Braslavsky:
  Reducing energy use and operational cost of air conditioning systems with multi-objective evolutionary algorithms. 1-8
  
• Haigen Hu, Lihong Xu, Ruihua Wei, Bingkun Zhu:
  Multi-objective tuning of nonlinear PID controllers for greenhouse environment using Evolutionary Algorithms. 1-6
  

Classification, Clustering, Data Analysis, and Data Mining I

• Uday Kamath, Amarda Shehu, Kenneth A. De Jong:
  Using evolutionary computation to improve SVM classification. 1-8
  
• Lourdes Araujo, Joaquín Pérez-Iglesias:
  Training a classifier for the selection of good query expansion terms with a genetic algorithm. 1-8
  
• Rui Xu, Jie Xu, Donald C. Wunsch II:
  Clustering with differential evolution particle swarm optimization. 1-8
  
• Lourdes Araujo, Jesus Santamaria:
  Evolving natural language grammars without supervision. 1-8
  

Selfadaptation I

• Thomas Ritscher, Sabine Helwig, Rolf Wanka:
  Design and experimental evaluation of multiple adaptation layers in self-optimizing particle swarm optimization. 1-8
  
• Liang Shen, Jun He:
  A mixed strategy for Evolutionary Programming based on local fitness landscape. 1-8
  
• Yong Liu:
  Are long jumps of Cauchy mutations effective in fast evolutionary programming? 1-8
  

Representations and Operators II

• Johannes W. Kruisselbrink, Michael T. M. Emmerich, André H. Deutz, Thomas Bäck:
  A robust optimization approach using Kriging metamodels for robustness approximation in the CMA-ES. 1-8
  
• Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Vanneschi:
  A comparison of the generalization ability of different genetic programming frameworks. 1-8
  
• Yamamoto Masafumi, Yoshikawa Tomohiro, Furuhashi Takeshi:
  Study on effect of MOGA with interactive island model using visualization. 1-6
  

Multiobjective Optimization I

• Vui Ann Shim, Kay Chen Tan, Jun Yong Chia:
  An investigation on sampling technique for multi-objective restricted Boltzmann machine. 1-8
  
• David J. Walker, Richard M. Everson, Jonathan E. Fieldsend:
  Visualisation and ordering of many-objective populations. 1-8
  
• Lucas S. Batista, Felipe Campelo, Frederico G. Guimarães, Jaime A. Ramírez:
  A new self-adaptive approach for evolutionary multiobjective optimization. 1-8
  

Defense and Cyber Security

• Riyad Alshammari, A. Nur Zincir-Heywood:
  Unveiling Skype encrypted tunnels using GP. 1-8
  
• Carlos Bacquet, A. Nur Zincir-Heywood, Malcolm I. Heywood:
  An analysis of clustering objectives for feature selection applied to encrypted traffic identification. 1-8
  
• Younchol Cho, Jeffrey S. Smith, Alice E. Smith:
  Optimizing tactical military MANETs with a specialized PSO. 1-6
  

Software Packages Based on Evolutionary Computation and Other Metaheuristics

• Jean-Baptiste Mouret, Stéphane Doncieux:
  Sferesv2: Evolvin' in the multi-core world. 1-8
  
• Juan José Durillo, Antonio J. Nebro, Enrique Alba:
  The jMetal framework for multi-objective optimization: Design and architecture. 1-8
  
• Pilar Caamaño, Rafael Tedin, Alejandro Paz-Lopez, José Antonio Becerra:
  JEAF: A Java Evolutionary Algorithm Framework. 1-8
  

Poster Session II

• Wei-neng Chen, Jun Zhang, Ou Liu, Hai-lin Liu:
  A Monte-Carlo ant colony system for scheduling multi-mode projects with uncertainties to optimize cash flows. 1-8
  
• Ruochen Liu, Licheng Jiao, Wei Zhang, Jingjing Ma:
  Clonal Selection Algorithm for Image Compression. 1-8
  
• Yuanchun Zhu, Ying Tan:
  Extracting discriminative information from e-mail for spam detection inspired by Immune System. 1-7
  
• Jonatan Gómez, Elizabeth Leon:
  A coevolutionary chromosome encoding scheme for high dimensional search spaces. 1-8
  
• Youngseol Lee, Sung-Bae Cho:
  Analysis of evolutionary process using evolutionary activity and modular schema analysis. 1-6
  
• Chi Kin Chow, Shiu Yin Yuen:
  Continuous non-revisiting genetic algorithm with random search space re-partitioning and one-gene-flip mutation. 1-8
  
• Gary G. Yen, Wen-Fung Leong:
  Constraint handling procedure for multiobjective particle swarm optimization. 1-8
  
• Yi Mei, Ke Tang, Xin Yao:
  Capacitated arc routing problem in uncertain environments. 1-8
  
• Julio J. Valdés:
  Evolutionary computation based nonlinear transformations to low dimensional spaces for sensor data fusion and Visual Data Mining. 1-8
  
• Kit Yan Chan, Sing Ho Ling, Tharam Singh Dillon, Hung Nguyen:
  Classification of hypoglycemic episodes for Type 1 diabetes mellitus based on neural networks. 1-5
  
• Arvind Mohais, Maksud Ibrahimov, Sven Schellenberg, Neal Wagner, Zbigniew Michalewicz:
  Time-varying constraints and other practical problems in real-world scheduling applications. 1-8
  
• Xiangtao Li, Jianan Wang, Junping Zhou, Minghao Yin:
  An effective GSA based memetic algorithm for permutation flow shop scheduling. 1-6
  

Selfadaptation II

• Christian L. Müller, Ivo F. Sbalzarini:
  Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling. 1-8
  
• Roman Senkerik, Donald Davendra, Ivan Zelinka, Zuzana Oplatková:
  Chaos driven Differential Evolution in the task of chaos control optimization. 1-8
  
• Nguyen Quang Uy, Bob McKay, Michael O'Neill, Nguyen Xuan Hoai:
  Self-adapting semantic sensitivities for Semantic Similarity based Crossover. 1-7
  
• Grant Dick:
  The utility of scale factor adaptation in differential evolution. 1-8
  
• Ni Chen, Zhi-hui Zhan, Jun Zhang, Ou Liu, Hai-lin Liu:
  A genetic algorithm for the optimization of admission scheduling strategy in hospitals. 1-5
  

Discrete and Combinatorial Optimization I

• Andreas T. Ernst:
  A hybrid Lagrangian Particle Swarm Optimization Algorithm for the degree-constrained minimum spanning tree problem. 1-8
  
• Rafael Falcón, Marcio Almeida, Amiya Nayak:
  A binary Particle Swarm Optimization approach to fault diagnosis in parallel and distributed systems. 1-8
  
• Bo Xing, Wen-jing Gao, Fulufhelo Vincent Nelwamondo, Kimberly Battle, Tshilidzi Marwala:
  Ant colony optimization for automated storage and retrieval system. 1-7
  
• Zülal Sevkli, Fatih Erdogan Sevilgen:
  Discrete Particle Swarm Optimization for the Orienteering Problem. 1-8
  
• Andrei Bautu, Henri Luchian:
  Particle Swarm Optimization with spanning tree representation for Ising spin glasses. 1-6
  

Niching Methods for Multimodal Optimization

• Marcel Kronfeld, Andreas Zell:
  Towards scalability in niching methods. 1-8
  
• Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan:
  Novel multimodal problems and differential evolution with ensemble of restricted tournament selection. 1-7
  
• Jian-Ping Li, Xiao-Dong Li, Alastair Wood:
  Species based evolutionary algorithms for multimodal optimization: A brief review. 1-8
  
• Xiaodong Li, Kalyanmoy Deb:
  Comparing lbest PSO niching algorithms using different position update rules. 1-8
  
• Grant Dick:
  Automatic identification of the niche radius using spatially-structured clearing methods. 1-8
  

Evolutionary Multiobjective Optimization for Defense Applications

• Jean Berger, Jens Happe:
  Co-evolutionary search path planning under constrained information-sharing for a cooperative unmanned aerial vehicle team. 1-8
  
• Jean Berger, Khaled Jabeur, Abdeslem Boukhtouta, Adel Guitouni, Ahmed Ghanmi:
  A hybrid genetic algorithm for rescue path planning in uncertain adversarial environment. 1-8
  
• Kyle Willick, Slawomir Wesolkowski, Michael Mazurek:
  Multiobjective evolutionary algorithm with risk minimization applied to a fleet mix problem. 1-7
  
• Leanne Stuive, Slawo Wesolkowski, Ahmed Ghanmi:
  Tactical fleet mix computation using multiobjective evolutionary optimization. 1-7
  
• Jean-François Connolly, Eric Granger, Robert Sabourin:
  An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification. 1-8
  

Classification, Clustering, Data Analysis, and Data Mining II

• Shafiq Alam, Gillian Dobbie, Patricia Riddle, M. Asif Naeem:
  A swarm intelligence based clustering approach for outlier detection. 1-7
  
• Amit Banerjee, Rajesh N. Davé:
  A context-sensitive crossover operator for clustering applications. 1-8
  
• Ali Vahdat, Malcolm I. Heywood, A. Nur Zincir-Heywood:
  Bottom-up evolutionary subspace clustering. 1-8
  
• Alexandre Szabo, Ana Karina Fontes Prior, Leandro Nunes de Castro:
  The proposal of a velocity memoryless clustering swarm. 1-5
  
• Zhi Zheng, Maoguo Gong, Jingjing Ma, Licheng Jiao, Qiaodi Wu:
  Unsupervised evolutionary clustering algorithm for mixed type data. 1-8
  

Artificial Immune Systems

• Ran Bi, Jon Timmis, Andy M. Tyrrell:
  The Diagnostic Dendritic Cell Algorithm for robotic systems. 1-8
  
• Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone, Giovanni Stracquadanio:
  Entropic divergence for population based optimization algorithms. 1-8
  
• Wanli Ma, Dat Tran, Dharmendra Sharma:
  A practical study on shape space and its occupancy in negative selection. 1-7
  
• Mateus Giesbrecht, Celso Pascoli Bottura:
  An immuno-inspired approach to find the steady state solution of Riccati equations not solvable by Schur method. 1-8
  
• Guilherme Palermo Coelho, Fernando J. Von Zuben:
  A Concentration-based Artificial Immune Network for continuous optimization. 1-8
  
• Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben:
  On the diversity mechanisms of opt-aiNet: A comparative study with fitness sharing. 1-8
  

Coevolutionary Systems I

• Maksud Ibrahimov, Neal Wagner, Arvind Mohais, Sven Schellenberg, Zbigniew Michalewicz:
  Comparison of cooperative and classical evolutionary algorithms for global supply chain optimisation. 1-8
  
• Wojciech Jaskowski, Krzysztof Krawiec:
  Coordinate System Archive for coevolution. 1-10
  
• Yoshiaki Katada, Yuta Handa:
  Tracking the Red Queen effect by estimating features of competitive co-evolutionary fitness landscapes. 1-8
  
• Leo H. Langenhoven, Geoff S. Nitschke:
  Neuro-evolution versus Particle Swarm Optimization for competitive co-evolution of pursuit-evasion behaviors. 1-8
  
• Mohammed El-Abd:
  A cooperative approach to The Artificial Bee Colony algorithm. 1-5
  
• Wang Chong, Jing Ning, Li Jun, Wang Jun, Chen Hao:
  Cooperative co-evolutionary algorithm in satellite imaging scheduling of cooperative multiple centers. 1-8
  

Multiobjective Evolutionary Algorithms I

• Andreas Konstantinidis, Christoforos Charalambous, Aimin Zhou, Qingfu Zhang:
  Multi-objective mobile agent-based Sensor Network Routing using MOEA/D. 1-8
  
• Dalia Sulieman, Laetitia Jourdan, El-Ghazali Talbi:
  Using multiobjective metaheuristics to solve VRP with uncertain demands. 1-8
  
• Ankur Sinha, Kalyanmoy Deb, Pekka J. Korhonen, Jyrki Wallenius:
  Progressively interactive evolutionary multi-objective optimization method using generalized polynomial value functions. 1-8
  
• Rituparna Datta, Anima Majumder:
  Optimization of turning process parameters using Multi-objective Evolutionary algorithm. 1-6
  
• Peter Dueholm Justesen, Rasmus K. Ursem:
  Many-objective Distinct Candidates Optimization using Differential Evolution on centrifugal pump design problems. 1-8
  
• Qingfu Zhang, Hui Li, Dietmar Maringer, Edward P. K. Tsang:
  MOEA/D with NBI-style Tchebycheff approach for portfolio management. 1-8
  

Evolutionary Computer Vision

• Andy Song, Brian Pinto:
  Study of GP representations for motion detection with unstable background. 1-8
  
• Krzysztof Krawiec, Bartosz Kukawka, Tomasz Maciejewski:
  Evolving cascades of voting feature detectors for vehicle detection in satellite imagery. 1-8
  
• Yuta Nakano, Shinichi Shirakawa, Noriko Yata, Tomoharu Nagao:
  Automatic construction of image transformation algorithms using feature based genetic image network. 1-8
  
• Alberto Ochoa, Manuel Tejera, Marta Soto:
  A fitness function model for detecting ellipses with Estimation of Distribution Algorithms. 1-8
  
• Luis Gerardo de la Fraga, Gustavo M. Lopez Dominguez:
  Robust fitting of ellipses with heuristics. 1-8
  
• Thomas Liddle, Mark Johnston, Mengjie Zhang:
  Multi-Objective Genetic Programming for object detection. 1-8
  

Biometrics, Bioinformatics, and Biomedical Applications I

• Gabriela Minetti, Enrique Alba:
  Metaheuristic assemblers of DNA strands: Noiseless and noisy cases. 1-8
  
• Fernando José Mateus da Silva, Juan Manuel Sánchez-Pérez, Juan Antonio Gómez Pulido, Miguel A. Vega-Rodríguez:
  An evolutionary approach for performing multiple sequence alignment. 1-7
  
• Tak-Ming Chan, Kwong-Sak Leung, Kin-Hong Lee, Pietro Liò:
  Generic spaced DNA motif discovery using Genetic Algorithm. 1-8
  
• Xi Li, Dianhui Wang:
  Computational discovery of regulatory DNA motifs using evolutionary computation. 1-8
  
• Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
  Simultaneous informative gene selection and clustering through multiobjective optimization. 1-8
  

Poster Session III

• Shane Boulden, Antony W. Iorio, Hussein A. Abbass:
  Learning synchronization in networked complex systems using genetic algorithms. 1-8
  
• Andrew R. Buck, James M. Keller, Marjorie Skubic:
  A modified genetic algorithm for matching building sets with the histograms of forces. 1-7
  
• Jun Inagaki, Tomoaki Shirakawa, Tetsuo Shimono, Miki Haseyama:
  A genetic algorithm for generating multiple paths on mesh maps. 1-4
  
• Tomislav Rolich, Darko Grundler:
  Reduction of electromagnetic field pollution in 3D space using a genetic algorithm. 1-5
  
• Tony E. Lewis, George D. Magoulas:
  Tweaking a tower of blocks leads to a TMBL: Pursuing long term fitness growth in program evolution. 1-8
  
• Anuradha Purohit, Narendra S. Chaudhari, Aruna Tiwari:
  Construction of classifier with feature selection based on genetic programming. 1-5
  
• Jeff Riley, Victor Ciesielski:
  Fitness landscape analysis for evolutionary non-photorealistic rendering. 1-9
  
• Krzysztof Krawiec, Bartosz Wieloch:
  Automatic generation and exploitation of related problems in genetic programming. 1-8
  
• Kit Yan Chan, Tharam Singh Dillon, Che Kit Kwong:
  Polynomial modeling for manufacturing processes using a backward elimination based genetic programming. 1-8
  
• Robin Harper:
  Genetic Programming - To much P and not enough G? 1-7
  
• Giovanni Stracquadanio, Concetta Drago, Vittorio Romano, Giuseppe Nicosia:
  Effective design of semiconductor devices using evolutionary-based derivative free optimization. 1-7
  
• Dong-Kyun Kim, Bob McKay, Haisoo Shin, Yun-Geun Lee, Xuan Hoai Nguyen:
  Ecological application of evolutionary computation: Improving water quality forecasts for the Nakdong River, Korea. 1-8
  
• Mikiko Sato, Yuji Sato, Mitaro Namiki:
  Proposal of a multi-core processor from the viewpoint of evolutionary computation. 1-8
  
• Neil Urquhart, Emma Hart, Cathy Scott:
  Building low CO2 solutions to the vehicle routing problem with Time Windows using an evolutionary algorithm. 1-6
  

Ant Colony Optimization

• Michael Maur, Manuel López-Ibáñez, Thomas Stützle:
  Pre-scheduled and adaptive parameter variation in MAX-MIN Ant System. 1-8
  
• Rafael Falcón, Xu Li, Amiya Nayak, Ivan Stojmenovic:
  The one-commodity traveling salesman problem with selective pickup and delivery: An ant colony approach. 1-8
  
• Christian Blum:
  Beam-ACO for the longest common subsequence problem. 1-8
  

Large Scale Global Optimization I

• Janez Brest, Ales Zamuda, Iztok Fister, Mirjam Sepesy Maucec:
  Large scale global optimization using self-adaptive differential evolution algorithm. 1-8
  
• Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao:
  Cooperative Co-evolution with delta grouping for large scale non-separable function optimization. 1-8
  
• Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
  Dynamic multi-swarm particle swarm optimizer with sub-regional harmony search. 1-8
  
• Daniel Molina, Manuel Lozano, Francisco Herrera:
  MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization. 1-8
  

Multiobjective Evolutionary Algorithms II

• Sílvia M. D. Monteiro, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
  A new transgenetic approach for the biobjective spanning tree problem. 1-5
  
• Kalyanmoy Deb, Rituparna Datta:
  A fast and accurate solution of constrained optimization problems using a hybrid bi-objective and penalty function approach. 1-8
  
• Mohand-Said Mezmaz, Young Choon Lee, Nouredine Melab, El-Ghazali Talbi, Albert Y. Zomaya:
  A bi-objective hybrid genetic algorithm to minimize energy consumption and makespan for precedence-constrained applications using dynamic voltage scaling. 1-8
  
• Chuan Shi, Cha Zhong, Zhenyu Yan, Yanan Cai, Bin Wu:
  A multi-objective approach for community detection in complex network. 1-8
  

Evolvable Hardware and Software

• Song Zhan, Julian F. Miller, Andy M. Tyrrell:
  Modular design from gene regulation in a cellular system. 1-8
  
• Stefano Nichele, Gunnar Tufte:
  Trajectories and attractors as specification for the evolution of behaviour in cellular automata. 1-8
  
• Elhadj Benkhelifa, Ashutosh Tiwari, Anthony G. Pipe:
  Evolutionary design optimisation of a 32-Step Traffic Lights Controller. 1-5
  
• Elizabeth Montero, María-Cristina Riff, Bertrand Neveu:
  New requirements for off-line parameter calibration algorithms. 1-8
  

Biometrics, Bioinformatics, and Biomedical Applications II

• Vladimir Sarpe, Afshin Esmaeili, Iman Yazdanbod, Thane Kubik, Michael Richter, Christian Jacob:
  Parametric evolution of a bacterial signalling system formalized by membrane computing. 1-8
  
• José María Font, Daniel Manrique:
  Grammar-guided evolutionary automatic system for autonomously building biological oscillators. 1-7
  
• Janet Clegg, Martin P. Robinson:
  A genetic algorithm used to fit Debye functions to the dielectric properties of tissues. 1-8
  
• Dulce Calçada, Agostinho C. Rosa, Luis C. Duarte, Vitor V. Lopes:
  Comparison of GA and PSO performance in parameter estimation of microbial growth models: A case-study using experimental data. 1-8
  

Numerical Optimization II

• Fanchao Zeng, James Decraene, Malcolm Yoke-Hean Low, Philip Hingston, Wentong Cai, Suiping Zhou, Mahinthan Chandramohan:
  Autonomous Bee Colony Optimization for multi-objective function. 1-8
  
• Kenya Jin'no, Takuya Shindo:
  Analysis of dynamical characteristic of canonical deterministic PSO. 1-6
  
• Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung:
  A particle swarm optimization algorithm based on orthogonal design. 1-7
  

Large Scale Global Optimization II

• Peter Korosec, Katerina Taskova, Jurij Silc:
  The differential Ant-Stigmergy Algorithm for large-scale global optimization. 1-8
  
• Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Dazhi Jiang:
  Sequential DE enhanced by neighborhood search for Large Scale Global Optimization. 1-7
  
• Abhishek Verma, Xavier Llorà, Shivaram Venkataraman, David E. Goldberg, Roy H. Campbell:
  Scaling eCGA model building via data-intensive computing. 1-8
  

Multiobjective Optimization II

• Bernabé Dorronsoro Díaz, Pascal Bouvry, J. Alberto Canero, Anthony A. Maciejewski, Howard Jay Siegel:
  Multi-objective robust static mapping of independent tasks on grids. 1-8
  
• Abdullah Alsheddy, Edward P. K. Tsang:
  Guided Pareto Local Search based frameworks for biobjective optimization. 1-8
  
• H. L. Liao, Q. H. Wu:
  Multi-objective optimisation by reinforcement learning. 1-8
  

Hardware Aspects of BioInspired Architectures and Systems

• Garrison W. Greenwood, Andy M. Tyrrell:
  Metamorphic systems: A new model for adaptive system design. 1-8
  
• André Stauffer, Joël Rossier:
  Bio-inspired self-testing and self-organizing processing arrays. 1-7
  
• Omer Qadir, Jerry Liu, Jon Timmis, Gianluca Tempesti, Andy M. Tyrrell:
  Principles of protein processing for a self-organising associative memory. 1-8
  

Evolutionary Algorithms with Statistical & Machine Learning Techniques I

• Dudy Lim, Yew-Soon Ong, Rachman Setiawan, Muhammad Idris:
  Classifier-assisted constrained evolutionary optimization for automated geometry selection of orthodontic retraction spring. 1-8
  
• Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie:
  Using a Markov network as a surrogate fitness function in a genetic algorithm. 1-8
  
• Pablo J. Villacorta, David A. Pelta:
  Evolutionary design and statistical assessment of strategies in an adversarial domain. 1-7
  

Poster Session IV

• Pourya Hoseini, Mahrokh G. Shayesteh:
  Hybrid Ant Colony Optimization, Genetic Algorithm, and Simulated Annealing for image contrast enhancement. 1-6
  
• Akira Hara, Syuhei Matsushima, Takumi Ichimura, Tetsuyuki Takahama:
  Ant Colony Optimization using exploratory ants for constructing partial solutions. 1-7
  
• Na Zhang, Zuren Feng, Liangjun Ke:
  New pheromone trail updating method of ACO for satellite control resource scheduling problem. 1-6
  
• Xinlu Zong, Shengwu Xiong, Zhixiang Fang, Qiuping Li:
  Multi-ant colony system for evacuation routing problem with mixed traffic flow. 1-6
  
• Guillermo Leguizamón, Franco Arito, Carlos A. Coello Coello:
  A hybrid Memory-based ACO algorithm for the QAP. 1-8
  
• Ali Esmailzadeh, Shahryar Rahnamayan:
  Fighting noise with noise: DE with individuals shaking to tackle noisy problems. 1-9
  
• Alfredo Arias Montaño, Carlos A. Coello Coello, Efrén Mezura-Montes:
  MODE-LD+SS: A novel Differential Evolution algorithm incorporating local dominance and scalar selection mechanisms for multi-objective optimization. 1-8
  
• Lucas de P. Veronese, Renato A. Krohling:
  Differential evolution algorithm on the GPU with C-CUDA. 1-7
  
• Gang Liu, Yuanxiang Li, Guoliang He:
  Design of digital FIR filters using differential evolution algorithm based on reserved genes. 1-7
  
• Anna Isabel Esparcia-Alcázar, Ana Isabel Martínez García, Antonio Mora García, Juan Julián Merelo Guervós, Pablo García-Sánchez:
  Controlling bots in a First Person Shooter game using genetic algorithms. 1-8
  
• Juliusz Zajaczkowski, Brijesh Verma:
  An evolutionary algorithm based approach for selection of topologies in hierarchical fuzzy systems. 1-8
  
• Edwing de Jesus Zarrazola, Daniel Gómez, Javier Montero, Javier Yáñez:
  A hierarchical segmentation for image processing. 1-4
  
• Diego Muñoz-Carpintero, Doris Sáez, Igor Skrjanc:
  Hybrid predictive control design with mixed inputs based on PSO and its application for control of a Batch Reactor. 1-8
  
• Bin Xu, Shangfei Wang, Xian Li:
  An emotional harmony generation system. 1-7
  
• Tae-min Jung, Youngseol Lee, Sung-Bae Cho:
  Mobile interface for adaptive image refinement using interactive evolutionary computing. 1-7
  
• Gerardo Gabriel Acosta, Jose A. Fernandez-Leon, Miguel Angel Mayosky:
  Artificial immune system inspired behavior coordination for autonomous mobile robot trajectory generation. 1-6
  

Numerical Optimization III

• Tiago Silveira, Humberto Cesar Brandao de Oliveira, Ricardo M. Salgado, Luiz Eduardo da Silva, Geraldo Robson Mateus:
  Cosine function applied to the inertia control in the Particle Swarm Optimization. 1-8
  
• Changhe Li, Shengxiang Yang:
  Adaptive learning particle swarm optimizer-II for global optimization. 1-8
  
• Alicia Morales-Reyes, Ahmet T. Erdogan, Tughrul Arslan:
  Lattice reconfiguration vs. local selection criteria for diversity tuning in cellular GAs. 1-8
  

Representations and Operators III

• Naoya Karatsu, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
  Globally multimodal function optimization by Real-Coded Genetic Algorithms using traps. 1-8
  
• Jongwon Yoon, Sung-Bae Cho:
  Fitness approximation for genetic algorithm using combination of approximation model and fuzzy clustering technique. 1-6
  
• David Kinzett, Mengjie Zhang, Mark Johnston:
  Investigation of simplification threshold and noise level of input data in numerical simplification of genetic programs. 1-8
  

Multiobjective Optimization III

• Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
  Adaptive weighted aggregation: A multiobjective function optimization framework taking account of spread and evenness of approximate solutions. 1-8
  
• Lino A. Costa, Pedro Oliveira:
  Biplots in offline multiobjective reduction. 1-8
  
• Gara Miranda, Jésica de Armas, Carlos Segura, Coromoto León:
  Hyperheuristic codification for the multi-objective 2D Guillotine Strip Packing Problem. 1-8
  

Evolutionary Robotics

• Jonathan Mwaura, Ed Keedwell:
  Evolution of robotic behaviours using Gene Expression Programming. 1-8
  
• Evert Haasdijk, A. E. Eiben, Giorgos Karafotias:
  On-line evolution of robot controllers by an encapsulated evolution strategy. 1-7
  
• Chin Kim On, Jason Teo:
  Evolution and analysis of self-synthesized minimalist neural controllers for collective robotics using Pareto multi-objective optimization. 1-7
  

Evolutionary Algorithms with Statistical & Machine Learning Techniques II

• Bo Liu, Francisco V. Fernández, Qingfu Zhang, Murat Pak, Suha Sipahi, Georges G. E. Gielen:
  An enhanced MOEA/D-DE and its application to multiobjective analog cell sizing. 1-7
  
• Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
  Estimation of Bayesian networks algorithms in a class of complex networks. 1-8
  
• Aimin Zhou, Qingfu Zhang:
  A surrogate-assisted evolutionary algorithm for minimax optimization. 1-7
  

Numerical Optimization IV

• Selmar K. Smit, A. E. Eiben:
  Beating the 'world champion' evolutionary algorithm via REVAC tuning. 1-8
  
• Kent McClymont, Ed Keedwell:
  Optimising multi-modal polynomial mutation operators for multi-objective problem classes. 1-8
  
• Gourab Ghosh Roy, Prithwish Chakraborty, Shi-Zheng Zhao, Swagatam Das, Ponnuthurai Nagaratnam Suganthan:
  Artificial foraging weeds for global numerical optimization over continuous spaces. 1-8
  
• Albert Y. S. Lam, Jialing Xu, Victor O. K. Li:
  Chemical Reaction Optimization for population transition in peer-to-peer live streaming. 1-8
  
• Shing Wa Leung, Shiu Yin Yuen, Chi Kin Chow:
  Parameter control by the entire search history: Case study of history-driven evolutionary algorithm. 1-8
  

Swarmbased Optimization I

• Johnny C. Y. Lai, Frank H. Leung, Sai-Ho Ling:
  A New Differential Evolution with self-terminating ability using fuzzy control and k-nearest neighbors. 1-8
  
• Oscar D. Lara, Miguel A. Labrador:
  A multiobjective ant colony-based optimization algorithm for the bin packing problem with load balancing. 1-8
  
• Hui Wang, Zhijian Wu, Shahryar Rahnamayan:
  Differential Evolution enhanced by neighborhood search. 1-8
  
• Fabrício Olivetti de França, Fernando J. Von Zuben:
  Finding a high coverage set of 5-biclusters with swarm intelligence. 1-8
  
• Kiran Khurshid, Safwat Irteza, Adnan Ahmed Khan:
  Application of ant colony optimization based algorithm in MIMO detection. 1-7
  

Evolutionary Multiobjective Optimization I

• Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka:
  Pareto partial dominance MOEA and hybrid archiving strategy included CDAS in many-objective optimization. 1-8
  
• Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos A. Coello Coello:
  Two novel approaches for many-objective optimization. 1-8
  
• Hernán E. Aguirre, Kiyoshi Tanaka:
  A study on the effects of rankings sensitive to density on many-objective MNK Landscapes. 1-8
  
• Irene Moser, Sanaz Mostaghim:
  The automotive deployment problem: A practical application for constrained multiobjective evolutionary optimisation. 1-8
  
• Hemant Kumar Singh, Tapabrata Ray, Warren Smith:
  Surrogate assisted Simulated Annealing (SASA) for constrained multi-objective optimization. 1-8
  

Evolutionary Robotics

• Renan C. Moioli, Patrícia Amâncio Vargas, Phil Husbands:
  Exploring the Kuramoto model of coupled oscillators in minimally cognitive evolutionary robotics tasks. 1-8
  
• Heiko Hamann, Jürgen Stradner, Thomas Schmickl, Karl Crailsheim:
  A hormone-based controller for evolutionary multi-modular robotics: From single modules to gait learning. 1-8
  
• Stephen Paul McKibbin:
  Structuring sensory-motor coordination for the acquisition of dynamic identification using PSO. 1-8
  
• Stéphane Doncieux, Jean-Baptiste Mouret:
  Behavioral diversity measures for Evolutionary Robotics. 1-8
  
• Christiaan J. Pretorius, Mathys C. du Plessis, Charmain Cilliers:
  A Neural Network-based kinematic and light-perception simulator for simple robotic evolution. 1-8
  

Real-world Applications - Design, Test, Planning and Scheduling

• Stefan Goldmann, Ralf Salomon:
  AGE-P: Moving from concept to technical realization. 1-8
  
• Robert Barbour, David W. Corne, John A. W. McCall:
  Accelerated optimisation of chemotherapy dose schedules using fitness inheritance. 1-8
  
• Matteo Miraz, Pier Luca Lanzi, Luciano Baresi:
  Improving evolutionary testing by means of efficiency enhancement techniques. 1-8
  
• Koji Shimoyama, Kazuya Seo, Tsuyoshi Nishiwaki, Shinkyu Jeong, Shigeru Obayashi:
  Material design optimization for a sport shoe sole by evolutionary computation and FEM analysis. 1-7
  
• Aritra Chowdhury, Ritwik Giri, Arnob Ghosh, Swagatam Das, Ajith Abraham, Václav Snásel:
  Linear antenna array synthesis using fitness-adaptive differential evolution algorithm. 1-8
  

Estimation of Distribution Algorithms

• Alfredo Cuesta-Infante, Roberto Santana, José Ignacio Hidalgo, Concha Bielza, Pedro Larrañaga:
  Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms. 1-8
  
• Benhui Chen, Jinglu Hu:
  An adaptive niching EDA based on clustering analysis. 1-7
  
• Xianneng Li, Shingo Mabu, Huiyu Zhou, Kaoru Shimada, Kotaro Hirasawa:
  Genetic Network Programming with Estimation of Distribution Algorithms for class association rule mining in traffic prediction. 1-8
  
• Amin Nikanjam, Hadi Sharifi, B. Hoda Helmi, Adel Rahmani:
  Enhancing the efficiency of genetic algorithm by identifying linkage groups using DSM clustering. 1-8
  
• Kai-Chun Fan, Jui-Ting Lee, Tian-Li Yu, Tsung-Yu Ho:
  Interaction-detection metric with differential mutual complement for dependency structure matrix genetic algorithm. 1-8
  
• Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
  A Bayesian Optimization Algorithm for De Novo ligand design based docking running over GPU. 1-8
  

Real-world Applications - Oil, Gas and Power Systems

• Fernando Alonso Zotes, Matilde Santos Peñas:
  Delta-V genetic optimisation of a trajectory from Earth to Saturn with fly-by in Mars. 1-6
  
• Markus Beck, Jozsef Hecht-Mendez, Michael de Paly, Peter Bayer, Philipp Blum, Andreas Zell:
  Optimization of the energy extraction of a shallow geothermal system. 1-7
  
• Thatiana C. N. de Souza, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
  Comparing PSO and NSGA II for the biobjective Oil Derivatives Distribution Problem. 1-7
  
• Ryohei Suzuki, Fukiko Kawai, Shinji Kitagawa, Tetsuro Matsui, Kouji Matsumoto, Donghui Xiang, Yoshikazu Fukuyama:
  The epsilon constrained differential evolution approach for optimal operational planning of energy plants. 1-6
  
• Johnny C. Y. Lai, Frank H. Leung, Sai-Ho Ling:
  Economic Load Dispatch using Differential Evolution with double wavelet mutation operations. 1-6
  
• Jean-François Dupuis, Zhun Fan:
  Comparing an evolved finite state controller for hybrid system to a lookahead design. 1-6
  

Evolutionary Multiobjective Optimization II

• Olaf Mersmann, Heike Trautmann, Boris Naujoks, Claus Weihs:
  Benchmarking evolutionary multiobjective optimization algorithms. 1-8
  
• Marcos L. P. Bueno, Gina M. B. Oliveira:
  Multicast flow routing: Evaluation of heuristics and multiobjective evolutionary algorithms. 1-8
  
• Salem F. Adra, Peter J. Fleming:
  Progressive diversity management in evolutionary multiobjective optimisation. 1-8
  
• Shinya Watanabe, Hiroyuki Shioya, Kazutoshi Gohara:
  Phase retrieval based on an Evolutionary Multicriterion Optimisation method. 1-8
  
• Lam Thu Bui, Zbigniew Michalewicz:
  An evolutionary multi-objective approach for dynamic mission planning. 1-8
  
• In-Won Park, Bum-Joo Lee, Ye-Hoon Kim, Ji-Hyeong Han, Jong-Hwan Kim:
  Multi-objective quantum-inspired evolutionary algorithm-based optimal control of two-link inverted pendulum. 1-7
  

Interactive Evolutionary Computation I

• James McDermott, Michael O'Neill, Anthony Brabazon:
  Interactive interpolating crossover in grammatical evolution. 1-8
  
• Jonathan Byrne, James McDermott, Edgar Galván López, Michael O'Neill:
  Implementing an intuitive mutation operator for interactive evolutionary 3D design. 1-7
  
• Misato Tanaka, Tomoyuki Hiroyasu, Mitsunori Miki, Yasunari Sasaki, Masato Yoshimi, Hisatake Yokouchi:
  Automatic generation method to derive for the design variable spaces for interactive Genetic Algorithms. 1-8
  
• Lluís Formiga, Francesc Alías, Xavier Llorà:
  Evolutionary process indicators for active IGAs applied to weight tuning in unit selection TTS synthesis. 1-8
  
• Tatsuo Unemi:
  SBArt4 - Breeding abstract animations in realtime. 1-6
  
• Shangfei Wang, Hua Zhu:
  Musical perceptual similarity estimation using interactive genetic algorithm. 1-7
  

Data Mining

• Carmen Bratosin, Natalia Sidorova, Wil M. P. van der Aalst:
  Distributed genetic process mining. 1-8
  
• Nitai B. Silva, Ing Ren Tsang, George D. C. Cavalcanti, Ing-Jyh Tsang:
  A graph-based friend recommendation system using Genetic Algorithm. 1-7
  
• José María Luna, José Raúl Romero, Sebastián Ventura:
  G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules. 1-8
  
• Lilian Berton, Jean Huertas, Bilza Araujo, Liang Zhao:
  Identifying abnormal nodes in complex networks by using random walk measure. 1-6
  
• Elizabeth Leon, Olfa Nasraoui, Jonatan Gómez:
  Scalable evolutionary clustering algorithm with Self Adaptive Genetic Operators. 1-8
  

Poster Session V

• Lily Rachmawati, Dipti Srinivasan:
  Incorporation of imprecise goal vectors into evolutionary multi-objective optimization. 1-8
  
• Alvaro Rubio-Largo, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
  A Differential Evolution with Pareto Tournaments for solving the Routing and Wavelength Assignment problem in WDM networks. 1-8
  
• Carolina P. de Almeida, Richard A. Gonçalves, Myriam Regattieri Delgado, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
  A Transgenetic Algorithm for the bi-objective traveling purchaser problem. 1-8
  
• Fatima Ghedjati:
  Heuristics and a hybrid meta-heuristic for a generalized job-shop scheduling problem. 1-8
  
• Jacomine Grobler, Andries Petrus Engelbrecht, Graham Kendall, V. S. S. Yadavalli:
  Alternative hyper-heuristic strategies for multi-method global optimization. 1-8
  
• Eugénia Moreira Bernardino, Anabela Moreira Bernardino, Juan Manuel Sánchez-Pérez, Juan Antonio Gómez Pulido, Miguel Ángel Vega Rodríguez:
  A Hybrid Scatter Search algorithm to assign terminals to concentrators. 1-8
  
• Aniruddha Basak, Siddharth Pal, Swagatam Das, Ajith Abraham, Václav Snásel:
  A modified Invasive Weed Optimization algorithm for time-modulated linear antenna array synthesis. 1-8
  
• Dipankar Dasgupta, David Camilo Becerra Romero, Alex Banceanu, Fernando Niño, James Simien:
  A parallel framework for multi-objective evolutionary optimization. 1-8
  
• Giovanni Cantor, Jonatan Gómez:
  Maintaining genetic diversity in fine-grained parallel genetic algorithms by combining cellular automata, Cambrian explosions and massive extinctions. 1-8
  
• Gilberto Reynoso-Meza, Xavier Blasco Ferragud, Javier Sanchis, Miguel A. Martínez:
  Multiobjective optimization algorithm for solving constrained single objective problems. 1-7
  
• Amit Saha, Rituparna Datta, Kalyanmoy Deb:
  Hybrid gradient projection based Genetic Algorithms for constrained optimization. 1-8
  
• Efrén Mezura-Montes, Ramiro Ernesto Velez-Koeppel:
  Elitist Artificial Bee Colony for constrained real-parameter optimization. 1-8
  
• Zhihui Li, J. J. Liang, Xi He, Zhigang Shang:
  Differential evolution with dynamic constraint-handling mechanism. 1-8
  
• Yangyang Li, Nana Wu, Jingjing Ma, Licheng Jiao:
  Quantum-inspired immune clonal clustering algorithm based on watershed. 1-7
  
• Laura Emmanuella A. Santana, Ligia Silva, Anne M. P. Canuto, Fernando Pintro, Karliane O. Vale:
  A comparative analysis of genetic algorithm and ant colony optimization to select attributes for an heterogeneous ensemble of classifiers. 1-8
  
• Nasser Tairan, Qingfu Zhang:
  Population-Based Guided Local Search: Some preliminary experimental results. 1-5
  

Theoretical Foundations of Evolutionary Computation

• Jun He:
  A note on the first hitting time of (1 + lambda) evolutionary algorithm for linear functions with boolean inputs. 1-6
  
• Fabio Daolio, Sébastien Vérel, Gabriela Ochoa, Marco Tomassini:
  Local Optima Networks of the Quadratic Assignment Problem. 1-8
  
• Mark Burgin, Eugene Eberbach:
  Bounded and periodic evolutionary machines. 1-8
  
• Witold Kosinski, Stefan Kotowski, Zbyszek Michalewicz:
  On convergence and optimality of genetic algorithms. 1-6
  

Representations and Operators IV

• Asmaa Al-Naqi, Ahmet T. Erdogan, Tughrul Arslan:
  Fault tolerance through automatic cell isolation using three-dimensional cellular genetic algorithms. 1-8
  
• Jose Luis Fernandez-Marquez, Josep Lluís Arcos:
  Adapting Particle Swarm Optimization in dynamic and noisy environments. 1-8
  
• Andy Song, Dunhai Chen, Mengjie Zhang:
  Contribution based bloat control in Genetic Programming. 1-8
  
• Phil T. Cattani, Colin G. Johnson:
  ME-CGP: Multi Expression Cartesian Genetic Programming. 1-6
  

Heuristics, Metaheuristics, and Hyperheuristics I

• José Carlos Ortiz-Bayliss, Ender Özcan, Andrew J. Parkes, Hugo Terashima-Marín:
  Mapping the performance of heuristics for Constraint Satisfaction. 1-8
  
• Istvan Erlich, Ganesh K. Venayagamoorthy, Nakawiro Worawat:
  A Mean-Variance Optimization algorithm. 1-6
  
• Luis de Marcos, Antonio García-Cabot, Eva García, Jose J. Martinez, José Antonio Gutiérrez de Mesa, Roberto Barchino, José María Gutiérrez, José Ramón Hilera, Salvador Otón:
  An adaptation of the parliamentary metaheuristic for permutation constraint satisfaction. 1-8
  
• Mario A. Muñoz, Saman K. Halgamuge, Wilfredo Alfonso, Eduardo Caicedo:
  Simplifying the Bacteria Foraging Optimization Algorithm. 1-7
  

Evolved Neural Networks I

• Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem Kaylani, Georgios C. Anagnostopoulos:
  Multi-objective memetic evolution of ART-based classifiers. 1-8
  
• Takahiro Takahashi, Satoshi Matsuda:
  Adaptive elevator dispatching with co-neuroevolution. 1-6
  
• Eric Granger, Donavan Prieur, Jean-François Connolly:
  Evolving ARTMAP neural networks using Multi-Objective Particle Swarm Optimization. 1-8
  
• Vladimir V. Bukhtoyarov, Olga E. Semenkina:
  Comprehensive evolutionary approach for neural network ensemble automatic design. 1-6
  

Classification, Clustering, Data Analysis, and Data Mining III

• Ricardo Aler, Inés María Galván, José María Valls:
  Evolving spatial and frequency selection filters for Brain-Computer Interfaces. 1-7
  
• Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos:
  Evolutionary Principal Direction Divisive Partitioning. 1-7
  
• Taras Kowaliw, Jon McCormack, Alan Dorin:
  Evolutionary automated recognition and characterization of an individual's artistic style. 1-8
  
• James Ethridge, Gregory Ditzler, Robi Polikar:
  Optimal nu-SVM parameter estimation using multi objective evolutionary algorithms. 1-8
  

Poster Session VI

• Renata M. Carvalho, Ricardo Massa Ferreira Lima, Adriano L. I. Oliveira, Felix C. G. Santos:
  Scheduling parallel jobs for multiphysics simulators. 1-8
  
• Iuri Bueno Drumond de Andrade, Tiago de Oliveira Januario, Gisele L. Pappa, Geraldo Robson Mateus:
  An evolutionary algorithm to the Density Control, Coverage and Routing Multi-Period Problem in Wireless Sensor Networks. 1-8
  
• Md. Murad Hossain, Hussein A. Abbass, Chris Lokan, Sameer Alam:
  Adversarial Evolution: Phase transition in non-uniform hard satisfiability problems. 1-8
  
• Haobo Fu, Yi Mei, Ke Tang, Yanbo Zhu:
  Memetic algorithm with heuristic candidate list strategy for Capacitated Arc Routing Problem. 1-8
  
• Raymond Chiong, Michael Kirley:
  Imitation vs evolution: Analysing the effects of strategy update mechanisms in N-player social dilemmas. 1-8
  
• Robert Bradley, Anthony Brabazon, Michael O'Neill:
  Objective function design in a grammatical evolutionary trading system. 1-8
  
• Terry Bossomaier, Mike Harré, Denise Jarratt:
  Evolutionary dynamics of business networks. 1-5
  
• Tae-Hyoung Park, Kyung-Min Kim:
  Integer programming approach to PCB assembly optimization of modular mounters. 1-6
  
• Jiann-Horng Lin, Jenn-Long Liu:
  On a measure of collective dynamics in particle swarm optimization. 1-6
  
• Ihsan Mohd Yassin, Mohd Nasir Taib, Azlee Zabidi, Hasliza Abu Hassan, Husna Zainol Abidin:
  Comparison between NARX parameter estimation methods with Binary Particle Swarm Optimization-based structure selection method. 1-7
  
• Dong Wang, Hanwu Chen, Wanning Zhu:
  Bidirectional matrix-based algorithm for 4-qubit reversible logic circuits synthesis. 1-5
  
• André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco:
  Quantum-Inspired Evolutionary Algorithms applied to numerical optimization problems. 1-6
  
• Arushi Raghuvanshi, Marek A. Perkowski:
  Fuzzy quantum circuits to model emotional behaviors of humanoid robots. 1-8
  

Parameter Setting in Evolutionary Algorithms

• Elisa Boari de Lima, Gisele L. Pappa, Jussara Marques de Almeida, Marcos André Gonçalves, Wagner Meira Jr.:
  Tuning Genetic Programming parameters with factorial designs. 1-8
  
• Erik Dovgan, Tea Tusar, Bogdan Filipic:
  Parameter tuning in an evolutionary algorithm for commodity transportation optimization. 1-8
  
• Maribel García Arenas, Juan Luís Jiménez Laredo, Pedro A. Castillo, Pablo G. Saanchez, Antonio Miguel Mora, Alberto Prieto, Juan J. Merelo Guervós:
  Statistical analysis of the parameters of the simulated annealing algorithm. 1-8
  

Constrained RealParameter Optimization I

• Tetsuyuki Takahama, Setsuko Sakai:
  Constrained optimization by the epsilon constrained differential evolution with an archive and gradient-based mutation. 1-9
  
• Lin-Yu Tseng, Chun Chen:
  Multiple Trajectory Search for single objective constrained real-parameter optimization problems. 1-7
  
• Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
  Differential evolution with ensemble of constraint handling techniques for solving CEC 2010 benchmark problems. 1-8
  

From Hybrid Evolutionary Computation and HyperHeuristics to Memetic Computation I

• Edmund K. Burke, Matthew R. Hyde, Graham Kendall:
  Providing a memory mechanism to enhance the evolutionary design of heuristics. 1-8
  
• Liang Feng, Yew-Soon Ong, Quang Huy Nguyen, Ah-Hwee Tan:
  Towards probabilistic memetic algorithm: An initial study on capacitated arc routing problem. 1-7
  
• Zexuan Zhu, Sen Jia, Zhen Ji:
  Affinity propagation based memetic band selection on hyperspectral imagery datasets. 1-7
  

Real-world Applications - LT Code and FPGA

• Chih-Ming Chen, Ying-Ping Chen, Tzu-Ching Shen, John K. Zao:
  On the optimization of degree distributions in LT code with covariance matrix adaptation evolution strategy. 1-8
  
• Chih-Ming Chen, Ying-Ping Chen, Tzu-Ching Shen, John K. Zao:
  Optimizing degree distributions in LT codes by using the multiobjective evolutionary algorithm based on decomposition. 1-8
  
• Cristiana Bolchini, Pier Luca Lanzi, Antonio Miele:
  A multi-objective genetic algorithm framework for design space exploration of reliable FPGA-based systems. 1-8
  

Biometrics, Bioinformatics and Biomedical Applications III

• Shervin Mehryar, Karl Martin, Konstantinos N. Plataniotis:
  Automatic landmark detection for 3D face image processing. 1-7
  
• Lamar Simpson, Gerry V. Dozier, Joshua Adams, Damon L. Woodard, Philip E. Miller, Kelvin S. Bryant, George Glenn:
  Genetic & Evolutionary Type II feature extraction for periocular-based biometric recognition. 1-4
  
• Bashar Awwad Shiekh Hasan, John Q. Gan, Qingfu Zhang:
  Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results. 1-6
  

Evolutionary Computation for Learning Morphology and Control

• Gary B. Parker, Pramod J. Nathan:
  Concurrently evolving sensor morphology and control for a hexapod robot. 1-6
  
• Hisashi Handa, Hiroshi Kawakami:
  Dimension reduction by Manifold Learning for Evolutionary Learning with redundant sensory inputs. 1-6
  
• Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura:
  Coordinating the adaptive behavior for swarm robotic systems by using topology and weight evolving artificial neural networks. 1-8
  
• Yoichi Yamazaki, Hai An Vu, Phuc Quang Le, Zhentao Liu, Chastine Fatichah, Mian Dai, Hitoho Oikawa, Daisuke Masano, Oohan Thet, Yongkang Tang, Nobuaki Nagashima, Martin Leonard Tangel, Fangyan Dong, Kaoru Hirota:
  Gesture recognition using combination of acceleration sensor and images for casual communication between robots and humans. 1-7
  
• Naoyuki Kubota, Wataru Sato:
  Robot design support system based on interactive evolutionary computation using Boltzmann selection. 1-8
  

Constrained Real-Parameter Optimization II

• Hemant Kumar Singh, Tapabrata Ray, Warren Smith:
  Performance of infeasibility empowered memetic algorithm for CEC 2010 constrained optimization problems. 1-8
  
• Janez Brest, Borko Boskovic, Viljem Zumer:
  An improved self-adaptive differential evolution algorithm in single objective constrained real-parameter optimization. 1-8
  
• Josef Tvrdík, Radka Polakova:
  Competitive differential evolution for constrained problems. 1-8
  
• Mehmet Fatih Tasgetiren, Ponnuthurai Nagaratnam Suganthan, Quan-Ke Pan, Rammohan Mallipeddi, Sedat Sarman:
  An ensemble of differential evolution algorithms for constrained function optimization. 1-8
  
• J. J. Liang, Shang Zhigang, Zhihui Li:
  Coevolutionary Comprehensive Learning Particle Swarm Optimizer. 1-8
  

From Hybrid Evolutionary Computation and HyperHeuristics to Memetic Computation II

• S. M. Kamrul Hasan, Ruhul A. Sarker, Daryl Essam:
  Evolutionary scheduling with rescheduling option for sudden machine breakdowns. 1-8
  
• Edmund K. Burke, Timothy Curtois, Matthew R. Hyde, Graham Kendall, Gabriela Ochoa, Sanja Petrovic, José Antonio Vázquez Rodríguez, Michel Gendreau:
  Iterated local search vs. hyper-heuristics: Towards general-purpose search algorithms. 1-8
  
• Adriana Lara Lopez, Carlos A. Coello Coello, Oliver Schütze:
  A painless gradient-assisted multi-objective memetic mechanism for solving continuous bi-objective optimization problems. 1-8
  
• Shaheen Fatima, Mohamed Bahy Bader-El-Den:
  Co-evolutionary hyper-heuristic method for auction based scheduling. 1-8
  
• Kerstin Wendt, Ana Cortés, Tomàs Margalef:
  Evolutionary Intelligent System for input parameter optimisation in environmental modelling: A case study in forest fire forecasting. 1-7
  

Interactive Evolutionary Computation II

• Satoshi Ono, Shigeru Nakayama:
  Fusion of interactive and non-interactive evolutionary computation for two-dimensional barcode decoration. 1-8
  
• Makoto Fukumoto, Makoto Inoue, Jun-ichi Imai:
  User's favorite scent design using paired comparison-based Interactive Differential Evolution. 1-6
  
• Paul Walsh, Prasad Gade:
  Terrain generation using an Interactive Genetic Algorithm. 1-7
  
• Licheng Jiao, Wei Zhang, Ruochen Liu, Fang Liu:
  A hybrid multiobjective immune algorithm with region preference for decision makers. 1-8
  
• Ladys Rodriguez, Luis A. Diago, Ichiro Hagiwara:
  Color recommendation system combining design concepts with interactive customers preference modeling from context changes. 1-8
  

Biometrics, Bioinformatics and Biomedical Applications IV

• Soo-Jin Kim, JungWoo Ha, Bado Lee, Byoung-Tak Zhang:
  Evolutionary layered hypernetworks for identifying microRNA-mRNA regulatory modules. 1-8
  
• Fábio L. Custódio, Helio J. C. Barbosa, Laurent Emmanuel Dardenne:
  Full-atom ab initio protein structure prediction with a Genetic Algorithm using a similarity-based surrogate model. 1-8
  
• Qingguo Wang, Yi Shang, Dong Xu:
  Protein structure selection based on consensus. 1-7
  
• Luis Germán Pérez-Hernández, Katya Rodríguez-Vázquez, Ramón Garduño-Juárez:
  Estimation of 3D Protein Structure by means of parallel Particle Swarm Optimization. 1-8
  
• Jorge Cervantes, Maximo Sanchez, Pedro Pablo Gonzalez:
  Emerging traits in the application of an evolutionary algorithm to a scalable bioinformatics problem. 1-8
  

Evolutionary Computation in Dynamic and Uncertain Environments

• Philipp Rohlfshagen, Xin Yao:
  On the role of modularity in evolutionary dynamic optimisation. 1-8
  
• Xin Yu, Yaochu Jin, Ke Tang, Xin Yao:
  Robust optimization over time - A new perspective on dynamic optimization problems. 1-6
  
• Ignacio García del Amo, David A. Pelta, Juan Ramón González:
  Using heuristic rules to enhance a multiswarm PSO for dynamic environments. 1-8
  
• Enrique Alba, Briseida Sarasola:
  ABC, a new performance tool for algorithms solving dynamic optimization problems. 1-7
  
• Juan Ramón González, Antonio D. Masegosa, Ignacio García del Amo, David A. Pelta:
  Cooperation rules in a trajectory-based centralised cooperative strategy for Dynamic Optimisation Problems. 1-8
  

Parallel and Distributed Algorithms

• Travis J. Desell, David P. Anderson, Malik Magdon-Ismail, Heidi Jo Newberg, Boleslaw K. Szymanski, Carlos A. Varela:
  An analysis of massively distributed evolutionary algorithms. 1-8
  
• Shin'ya Nakano:
  Population-based quasi-Bayesian algorithm for high-dimensional sequential problems and hierarchization of it for distributed computing environments. 1-8
  
• Anand Jayant Kulkarni, Kang Tai:
  Probability Collectives: A distributed optimization approach for constrained problems. 1-8
  
• Malika Mehdi, Nouredine Melab, El-Ghazali Talbi, Pascal Bouvry:
  Interval-based initialization method for permutation-based problems. 1-8
  
• Ogier Maitre, Stephane Querry, Nicolas Lachiche, Pierre Collet:
  EASEA parallelization of tree-based Genetic Programming. 1-8
  
• Juan Julián Merelo Guervós:
  Fluid evolutionary algorithms. 1-8
  

Multiobjective Evolutionary Algorithms III

• Michael de Paly, Niels Schutze, Andreas Zell:
  Determining crop-production functions using multi-objective evolutionary algorithms. 1-8
  
• Pedro Gómez-Meneses, Marcus Randall, Andrew Lewis:
  A hybrid multi-objective extremal optimisation approach for multi-objective combinatorial optimisation problems. 1-8
  
• Slim Bechikh, Lamjed Ben Said, Khaled Ghédira:
  Estimating nadir point in multi-objective optimization using mobile reference points. 1-9
  
• Hui Li, Dario Landa Silva, Xavier Gandibleux:
  Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails. 1-8
  
• Lucas Bradstreet, R. Lyndon While, Luigi Barone:
  A fast many-objective hypervolume algorithm using iterated incremental calculations. 1-8
  
• David L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
  Solving the motif discovery problem by using Differential Evolution with Pareto Tournaments. 1-8
  

Evolutionary Computation in Aerospace Sciences I

• Chit Hong Yam, David Di Lorenzo, Dario Izzo:
  Constrained global optimization of low-thrust interplanetary trajectories. 1-7
  
• Matteo Ceriotti, Massimiliano Vasile:
  An Ant System algorithm for automated trajectory planning. 1-8
  
• Oliver Schütze, Adriana Lara, Carlos A. Coello Coello, Massimiliano Vasile:
  Computing approximate solutions of scalar optimization problems and applications in space mission design. 1-8
  
• Massimiliano Vasile, Federico Zuiani:
  A hybrid multiobjective optimization algorithm applied to space trajectory optimization. 1-8
  
• Lei Peng, Yuanzhen Wang, Guangming Dai, Yamin Chang, Fangjie Chen:
  Optimization of the Earth-Moon low energy transfer with differential evolution based on uniform design. 1-8
  

Computational Intelligence in Games

• Julian Togelius, Sergey Karakovskiy, Robin Baumgarten:
  The 2009 Mario AI Competition. 1-8
  
• Daniele Loiacono, Alessandro Prete, Pier Luca Lanzi, Luigi Cardamone:
  Learning to overtake in TORCS using simple reinforcement learning. 1-8
  
• Paolo Burelli, Georgios N. Yannakakis:
  Global search for occlusion minimisation in virtual camera control. 1-8
  
• Philip Hingston, Mike Preuss, Daniel Spierling:
  RedTNet: A network model for strategy games. 1-9
  
• Krzysztof Krawiec, Marcin Grzegorz Szubert:
  Coevolutionary Temporal Difference Learning for small-board Go. 1-8
  
• Daniel A. Ashlock, Justin Schonfeld:
  Evolution for automatic assessment of the difficulty of sokoban boards. 1-8
  

Poste Session VII

• Zach D. Richards, Kimon P. Valavanis:
  Particle Swarm trade-off curve analysis for bi-objective optimization. 1-6
  
• Martin Pilát, Roman Neruda:
  Combining multiobjective and single-objective genetic algorithms in heterogeneous island model. 1-8
  
• Leandro dos Santos Coelho, Diego Luis de Andrade Bernert, Viviana Cocco Mariani:
  Chaotic differential Harmony Search algorithm applied to power economic dispatch of generators with multiple fuel options. 1-5
  
• Fabio Fernandes Ribeiro, Sérgio Ricardo de Souza, Marcone J. F. Souza, Rogério M. Gomes:
  An adaptive genetic algorithm to solve the Single Machine Scheduling Problem with Earliness and Tardiness Penalties. 1-8
  
• Viviana Cocco Mariani, Vagner Jorge Neckel, Leonardo Dallegrave Afonso, Leandro dos Santos Coelho:
  Differential evolution with dynamic adaptation of mutation factor applied to inverse heat transfer problem. 1-6
  
• Milan Cisty:
  Hybrid model for water distribution design. 1-8
  
• Fernando Buarque de Lima Neto, Ronaldo Menezes, Marcos A. Lvares:
  Hybrid and evolutionary Agent-Based Social Simulations using Lévy flight as randomization method. 1-8
  
• Xiao-Bing Hu, Mark S. Leeson, Evor L. Hines:
  A ripple-spreading genetic algorithm for the network coding problem. 1-8
  
• Ivo Pereira, Ana Madureira:
  Self-optimizing through CBR learning. 1-8
  
• Sunny Orike:
  The effects of genetic encoding on the realization of smooth trajectory for a helicopter pilot in flying a simple maneuver. 1-8
  
• Wendy Ashlock, Daniel A. Ashlock:
  Virtual retroviruses in grid walkers: Effects on genome organization. 1-8
  

Evolutionary Computation Theory

• Benjamin Doerr, Daniel Johannsen, Carola Winzen:
  Drift analysis and linear functions revisited. 1-8
  
• James A. R. Marshall, Thomas G. Hinton:
  Beyond No Free Lunch: Realistic algorithms for arbitrary problem classes. 1-6
  
• Lutao Wang, Shingo Mabu, Qingbiao Meng, Kotaro Hirasawa:
  Genetic Network Programming with generalized rule accumulation. 1-7
  
• Bakir Lacevic, Edoardo Amaldi:
  On population diversity measures in Euclidean space. 1-8
  

Swarm-based Optimization II

• Shih-Pang Tseng, Chun-Wei Tsai, Ming-Chao Chiang, Chu-Sing Yang:
  A fast Ant Colony Optimization for traveling salesman problem. 1-6
  
• Ermioni Marami, Anastasios Tefas:
  Using Particle Swarm Optimization for scaling and rotation invariant face detection. 1-7
  
• Stephen Chen, Yenny Noa Vargas:
  Improving the performance of particle swarms through dimension reductions - A case study with locust swarms. 1-8
  
• Prithwish Chakraborty, Swagatam Das, Ajith Abraham, Václav Snásel, Gourab Ghosh Roy:
  On convergence of multi-objective Particle Swarm Optimizers. 1-8
  

Natural Computation Applied to Power Systems

• Martin Bilbao, Enrique Alba:
  CHC and SA applied to wind energy optimization using real data. 1-8
  
• Komla A. Folly, Ganesh K. Venayagamoorthy:
  Performance evaluation of a PBIL-based power system damping controller. 1-7
  
• Luis A. Scola, Oriane M. Neto, Ricardo H. C. Takahashi, Sergio A. A. G. Cerqueira:
  Multi-objective optimal reservoir operation. 1-5
  
• R. Ashok Bakkiyaraj, N. Kumarappan:
  Evaluation of composite reliability indices based on non-sequential Monte Carlo simulation and particle swarm optimization. 1-5