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GECCO 2011: Dublin, Ireland - Companion Material

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  • Ant colony optimization and swarm intelligence track posters
  • Digital entertainment technologies and arts track posters
  • Evolutionary multiobjective optimization track posters
  • Genetics based machine learning track posters
  • Parallel evolutionary systems track posters
  • Self-* search track posters
  • Evolutionary computation techniques for constraint handling
  • Medical applications of genetic and evolutionary computation (MedGEC)
  • Bio-inspired solutions for wireless sensor networks (GECCO BIS-WSN 2011)
  • Scaling behaviours of landscapes, parameters and algorithms
  • Late breaking abstracts workshop
  • Specialized techniques and applications

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    Natalio Krasnogor, Pier Luca Lanzi:
    13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011, Companion Material Proceedings, Dublin, Ireland, July 12-16, 2011. ACM 2011, ISBN 978-1-4503-0690-4

Ant colony optimization and swarm intelligence track posters

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    Richard D. Coates, Simon J. Hickinbotham:
    Estimating swarm parameters by evolutionary learning. 1-2
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    Arles Ernesto Rodríguez Portela, Jonatan Gómez Perdomo:
    Mechanism of failure diagnosis based on language games and q-learning over a termites simulator. 3-4
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    Tomasz M. Gwizdalla:
    Different versions of particle swarm optimization for magnetic problems. 5-6
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    YiJun Chen, Man Leung Wong:
    Optimizing stacking ensemble by an ant colony optimization approach. 7-8
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    Victor Ciesielski, Perry Barile:
    Animations rendered by braitenberg vehicles. 9-10
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    Samreen Umer, Adnan Ahmed Khan:
    Optimal relay station placement in cooperative networks using particle swarm. 11-12
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    Sabrina M. Oliveira, Mohamed Saifullah Hussin, Thomas Stützle, Andrea Roli, Marco Dorigo:
    A detailed analysis of the population-based ant colony optimization algorithm for the TSP and the QAP. 13-14
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    Ying Lin, Jun Zhang:
    An ant colony optimization approach for efficient admission scheduling of elective inpatients. 15-16
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    Tiago Amador Coelho, Ahmed Ali Abdalla Esmin, Wagner Meira Jr.:
    Particle swarm optimization for multi-label classification. 17-18

Artificial life/robotics/evolvable hardware track posters

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    Ivan Tanev, Tüze Kuyucu, Katsunori Shimohara:
    Incremental genetic programming via genetic transposition. 19-20
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    Kohei Nakajima, Tao Li, Naveen Kuppuswamy, Rolf Pfeifer:
    Biologically inspired control of a simulated octopus ARM via recurrent neural networks. 21-22
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    Daniel J. Couvertier, Philip K. McKinley:
    Effects of biased group selection on cooperative predation in digital organisms. 23-24
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    Jean-Marc Montanier, Nicolas Bredèche:
    Emergence of altruism in open-ended evolution in a population of autonomous agents. 25-26
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    A. E. Eiben, N. Ferreira, Martijn C. Schut, Serge Kernbach:
    Embodied artificial evolution: the future of artificial evolutionary systems. 27-28
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    Jaimie Murdock, Larry S. Yaeger:
    Genetic clustering for the identification of species. 29-30
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    Jason Yosinski, Jeff Clune, Diana Hidalgo, Sarah Nguyen, Juan Cristóbal Zagal, Hod Lipson:
    Generating gaits for physical quadruped robots: evolved neural networks vs. local parameterized search. 31-32

Bioinformatics, computational, systems, and synthetic biology track posters

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    Theodore W. Cornforth, Jim Tørresen, Hod Lipson:
    Ion channel modeling with analog circuit evolution. 33-34
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    Kristopher Hoover, Rachel Marceau, Tyndall Harris, Nicholas E. Hardison, David M. Reif, Alison A. Motsinger-Reif:
    Optimization of grammatical evolution decision trees. 35-36

Digital entertainment technologies and arts track posters

Evolutionary combinatorial optimization and metaheuristics track posters

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    Chan Hou Che, Zizhen Zhang, Andrew Lim:
    A memetic algorithm for solving multiperiod vehicle routing problem with profit. 45-46
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    Christian Grimme, Markus Kemmerling, Joachim Lepping:
    An expertise-guided multi-criteria approach to scheduling problems. 47-48
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    Santiago Enrique Conant-Pablos, Halley Jarumy Ferrer-Soriano, Hugo Terashima-Marín:
    Evolving solutions of mixed-model assembly line balancing problems by chaining heuristic optimization methods: track: evolutionary combinatorial optimization and meta-heuristics. 49-50
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    Wolfgang Steitz, Franz Rothlauf:
    Guided local search for the optimal communication spanning tree problem. 51-52
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    A. Kai Qin, Florence Forbes:
    Dynamic regional harmony search with opposition and local learning. 53-54
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    Yao-Hsin Chou, Chia-Hui Chiu, Yi-Jyuan Yang:
    Quantum-inspired tabu search algorithm for solving 0/1 knapsack problems. 55-56
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    Luis de-Marcos, Antonio García-Cabot, Eva García, José-Amelio Medina, Salvador Otón:
    Comparing the performance of evolutionary algorithms for permutation constraint satisfaction. 57-58
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    Saúl Domínguez-Isidro, Efrén Mezura-Montes, Luis Guillermo Osorio-Hernández:
    Addition chain length minimization with evolutionary programming. 59-60

Estimation of distribution algorithms track posters

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    Jen-Hao Chang, Chung-Hsiang Hsueh, Hsuan Lee, Tian-Li Yu, Tsung-Yu Ho:
    A test function with full controllability over overlapping: estimation of distribution algorithms. 61-62
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    Takayuki Higo:
    Importance sampling regularization for estimation of distribution algorithms. 63-64
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    David Wallin, Conor Ryan, R. Muhammad Atif Azad:
    Candidate oversampling prefers two to tango: estimation of distribution algorithms. 65-66
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    Warin Wattanapornprom, Prabhas Chongstitvatana:
    Solving multimodal combinatorial puzzles with edge-based estimation of distribution algorithm. 67-68
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    Ignacio Segovia-Dominguez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce:
    The gaussian polytree EDA for global optimization. 69-70
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    Kai-Chun Fan, Tian-Li Yu, Jui-Ting Lee:
    Interaction detection by NFE estimation: a practical view of building blocks. 71-72
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    Elham Salehi, Robin Gras:
    Efficient EDA for large opimization problems via constraining the search space of models. 73-74

Evolutionary multiobjective optimization track posters

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    Wali Khan Mashwani:
    Integration of NSGA-II and MOEA/D in multimethod search approach: algorithms. 75-76
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    Jingxuan Wei, Mengjie Zhang:
    Attraction based PSO with sphere search for dynamic constrained multi-objective optimization problems. 77-78
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    Martin Pilát, Roman Neruda:
    LAMM-MMA: multiobjective memetic algorithm with local aggregate meta-model. 79-80
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    Bing Wu, Weihua Sun, Yoshihiro Murata, Keiichi Yasumoto, Minoru Ito:
    A stamina-aware sightseeing tour scheduling method. 81-82
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    Javier H. López, Laura Lanzarini, Armando De Giusti:
    Evolutionary multiobjective optimization for emergency medical services. 83-84
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    Jingjing Ma, Yanhui Wang, Maoguo Gong, Licheng Jiao, Qingfu Zhang:
    Spatio-temporal data evolutionary clustering based on MOEA/D. 85-86
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    Stefano Suardi, Rajkumar Roy, Jörn Mehnen, Yoseph Tafesse Azene:
    Uncertainty based evolutionary optimisation. 87-88
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    Alexander E. I. Brownlee, Jonathan A. Wright, Monjur M. Mourshed:
    A multi-objective window optimisation problem. 89-90
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    Roberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga:
    Quantitative genetics in multi-objective optimization algorithms: from useful insights to effective methods. 91-92
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    Rupesh Tulshyan, Kalyanmoy Deb, Sunith Bandaru:
    KKT proximity measure for testing convergence in smooth multi-objective optimization. 93-94
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    Noura Al Moubayed, Andrei Petrovski, John A. W. McCall:
    Clustering based leaders' selection in multi-objective evolutionary algorithms. 95-96
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    Adam Mostafa Ghandar, Zbigniew Michalewicz:
    Considerations of the nature of the relationship between generalization and interpretability in evolutionary fuzzy systems. 97-98
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    Ke Li, Sam Kwong, Kim-Fung Man:
    JGBL paradigm: a novel strategy to enhance the exploration ability of nsga-ii. 99-100
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    Marcos Luiz de Paula Bueno, Gina Maira Barbosa de Oliveira:
    Adaptive shifting of auxiliary strategies over three formulations of multicast routing problem. 101-102
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    Wenping Zou, Yunlong Zhu, Hanning Chen, Hai Shen:
    A novel multi-objective optimization algorithm based on artificial bee colony. 103-104
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    Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry:
    A classification of dynamic multi-objective optimization problems. 105-106
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    David J. Walker, Richard M. Everson, Jonathan E. Fieldsend:
    Rank-based dimension reduction for many-criteria populations. 107-108
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    Christian Grimme, Joachim Lepping:
    Integrating niching into the predator-prey model using epsilon-constraints. 109-110

Evolution strategies and evolutionary programming track posters

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    Wenyin Gong, Zhihua Cai:
    Adaptive parameter selection for strategy adaptation in differential evolution. 111-112
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    José Luis Guerrero, Antonio Berlanga, José Manuel Molina:
    A robust memetic algorithm with self-stopping capabilities. 113-114
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    Alfredo Cuesta-Infante, José Ignacio Hidalgo, María Victoria Rivas:
    (1+2)-evolution strategy for fitting a straight shuffle of min to a dataset. 115-116
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    Amine M. Boumaza:
    Designing artificial tetris players with evolution strategies and racing. 117-118
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    Thomas Bartz-Beielstein, Martina Friese, Martin Zaefferer, Boris Naujoks, Oliver Flasch, Wolfgang Konen, Patrick Koch:
    Noisy optimization with sequential parameter optimization and optimal computational budget allocation. 119-120

Genetic algorithms track posters

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    Maksud Ibrahimov, Arvind Mohais, Sven Schellenberg, Zbigniew Michalewicz:
    Comparison of cooperative, multiobjective cooperative and classical evolutionary algorithms for global supply chain optimisation. 121-122
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    Josh L. Wilkerson, Daniel R. Tauritz:
    A guide for fitness function design. 123-124
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    Mitsukuni Matayoshi:
    A new packing method for two dimensional rectilinear polygons using genetic algorithm. 125-126
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    Crown Guan Wang, Degang Wu, Wenjin Chen, Kwok Yip Szeto:
    Importance of information exchange in quasi-parallel genetic algorithms. 127-128
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    Lee Spector, Thomas Helmuth, Kyle Ira Harrington:
    Fecundity and selectivity in evolutionary computation. 129-130
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    Marcelo Beckmann, Beatriz Souza Leite Pires de Lima, Nelson F. F. Ebecken:
    Genetic algorithms as a pre processing strategy for imbalanced datasets. 131-132
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    Alberto Moraglio, Yong-Hyuk Kim, Yourim Yoon:
    Geometric surrogate-based optimisation for permutation-based problems. 133-134
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    Eddy Parkinson, Adam Ghandar, Zbigniew Michalewicz, Andrew Tuson:
    Controlling the tradeoff between time and quality by considering the reproductive potential of offspring. 135-136
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    Telma Woerle de Lima, Alexandre Cláudio Botazzo Delbem, Franz Rothlauf:
    Analysis of properties of recombination operators proposed for the node-depth encoding. 137-138
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    Badarch Tserenchimed, Shu Liu, Hitoshi Iba:
    A trading method in FX using evolutionary algorithms: extensions based on reverse trend and settlement timing. 139-140
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    Min Shi:
    Empirical analysis of cooperative coevolution using blind decomposition. 141-142
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    Ming Yang, Zhihua Cai, Jing Guan, Wenyin Gong:
    Differential evolution with improved population reduction. 143-144
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    Evelyne Lutton, Jean-Daniel Fekete:
    Visual analytics of EA data. 145-146
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    Timothy Meekhof, Terence Soule:
    Noise, fitness distribution, and selection intensity in genetic algorithms. 147-148
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    Gene I. Sher:
    DXNN: evolving complex organisms in complex environments using a novel tweann system. 149-150
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    Sean Luke, Keith Sullivan, Faisal Abidi:
    Large scale empirical analysis of cooperative coevolution. 151-152
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    António Manuel Rodrigues Manso, Luís Miguel Parreira Correia:
    A multiset genetic algorithm for real coded problems. 153-154
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    Brian W. Goldman, Daniel R. Tauritz:
    Meta-evolved empirical evidence of the effectiveness of dynamic parameters. 155-156
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    Yu-Min Son, Byung Ro Moon:
    Raising mutation rate in the context of hybrid genetic algorithms. 157-158
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    Jing-Hui Zhong, Jun Zhang:
    A multi-objective memetic algorithm for relay node placement in wireless sensor network. 159-160
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    Mauro Castelli, Luca Manzoni, Leonardo Vanneschi:
    The effect of selection from old populations in genetic algorithms. 161-162

Genetics based machine learning track posters

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    Juan Peralta Donate, Paulo Cortez, Araceli Sanchis de Miguel, Germán Gutiérrez Sánchez:
    Evolving time-lagged feedforward neural networks for time series forecasting. 163-164
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    Kaoru Shimada, Kotaro Hirasawa:
    Evolving associative classifier for incomplete database using genetic network programming. 165-166
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    Richard Preen, Larry Bull:
    Fuzzy dynamical genetic programming in XCSF. 167-168
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    Daniele Loiacono:
    Fast prediction computation in learning classifier systems using CUDA. 169-170
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    Rita Castillo-Ortega, Nicolás Marín, Daniel Sánchez, Andrea Tettamanzi:
    A multi-objective memetic algorithm for the linguistic summarization of time series. 171-172
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    Claudio De Stefano, Gianluigi Folino, Francesco Fontanella, Alessandra Scotto di Freca:
    Using bayesian networks for selecting classifiers in GP ensembles. 173-174
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    Leonardo Trujillo, Yuliana Martínez, Patricia Melin:
    How many neurons?: a genetic programming answer. 175-176
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    Scott Niekum, Lee Spector, Andrew G. Barto:
    Evolution of reward functions for reinforcement learning. 177-178
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    Fengming Ye, Shingo Mabu, Kotaro Hirasawa:
    A memory scheme for genetic network programming with adaptive mutation. 179-180
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    Ignas Kukenys, Will N. Browne, Mengjie Zhang:
    Confusion matrices for improving performance of feature pattern classifier systems. 181-182

Genetic programming track posters

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    David Fagan, Miguel Nicolau, Erik Hemberg, Michael O'Neill, Anthony Brabazon:
    Dynamic ant: introducing a new benchmark for genetic programming in dynamic environments. 183-184
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    Glen Dario Rodriguez Rafael, Carlos Javier Solano Salinas:
    Empirical study of surrogate models for black box optimizations obtained using symbolic regression via genetic programming. 185-186
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    Marc-André Gardner, Christian Gagné, Marc Parizeau:
    Bloat control in genetic programming with a histogram-based accept-reject method. 187-188
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    Carlos Iván Camargo Bareño, Cesar Augusto Pedraza Bonilla, Luis Fernado Niño, José Ignacio Martinez Torre:
    Intrinsic evolvable hardware for combinatorial synthesis based on SoC+FPGA and GPU platforms. 189-190
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    Michael O'Neill, Miguel Nicolau, Anthony Brabazon:
    Dynamic environments can speed up evolution with genetic programming. 191-192
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    Douglas Adriano Augusto, Helio J. C. Barbosa, André da Motta Salles Barreto, Heder S. Bernardino:
    A new approach for generating numerical constants in grammatical evolution. 193-194
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    Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
    Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation. 195-196
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    Simon Harding, Julian F. Miller, Wolfgang Banzhaf:
    SMCGP2: finding algorithms that approximate numerical constants using quaternions and complex numbers. 197-198
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    Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
    Stateful program representations for evolving technical trading rules. 199-200
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    Carlton Downey, Mengjie Zhang:
    Caching for parallel linear genetic programming. 201-202
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    Clíodhna Tuite, Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
    Early stopping criteria to counteract overfitting in genetic programming. 203-204
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    William B. Langdon:
    Generalisation in genetic programming. 205-206

Generative and developmental systems track posters

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    Terence Soule, Robert B. Heckendorn:
    Developmental scalable hierarchies for multi-agent swarms. 207-208
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    Robin Harper:
    Dynamic l-systems in GE. 209-210

Parallel evolutionary systems track posters

Real world applications track posters

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    Abhinav Malhotra, Varun Aggarwal:
    HIER-HEIR: an evolutionary system with hierarchical representation & contextual operators applied to fashion design. 215-216
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    Jeong-min Yu, Sang-Goog Lee, Moongu Jeon:
    Medical image segmentation by hybridizing ant colony optimization and fuzzy clustering algorithm. 217-218
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    Juan Peralta Donate, Paulo Cortez, Araceli Sanchis de Miguel, Germán Gutiérrez Sánchez:
    Evolving sparsely connected neural networks for multi-step ahead forecasting. 219-220
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    Andy Song, Feng Xie:
    Evolving automatic frame splitters. 221-222
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    Adam S. Banzi, Aurora T. R. Pozo, Elias P. Duarte Jr.:
    Bio-inspired event dissemination in dynamic and decentralized networks. 223-224
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    Ernesto Sánchez, Giovanni Squillero, Alberto Paolo Tonda:
    Evolutionary failing-test generation for modern microprocessors. 225-226
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    Eva Besada-Portas, Luis de la Torre, Alejandro Moreno, José Luis Risco-Martín:
    Performance analysis of multiobjective bio-inspired UAV path planners. 227-228
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    Ronald Hochreiter, Christoph Waldhauser:
    Evolved election forecasts: using genetic algorithms in improving election forecast results. 229-230
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    Forrest Stonedahl, David Anderson, William Rand:
    When does simulated data match real data? 231-232
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    Lydia Boudjeloud, Hanane Azzag:
    A cooperative biomimetic approach for high dimensional data mining. 233-234
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    Subhrajit Roy, Sk. Minhazul Islam, Saurav Ghosh, Swagatam Das, Ajith Abraham, Pavel Krömer:
    A modified differential evolution for autonomous deployment and localization of sensor nodes. 235-236
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    Paul Anton Letnes, Ingar Stian Nerbø, Lars Martin Sandvik Aas, Pål Gunnar Ellingsen, Morten Kildemo:
    Genetic invention of fast and optimal broad-band stokes/mueller polarimeter designs. 237-238
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    Victor Parque, Shingo Mabu, Kotaro Hirasawa:
    Genetic network programming with changing structures for a novel stock selection model. 239-240

Search-based software engineering track posters

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    José del Sagrado, Isabel María del Águila, Francisco Javier Orellana:
    Requirements interaction in the next release problem. 241-242
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    Josh L. Wilkerson, Daniel R. Tauritz:
    Scalability of the coevolutionary automated software correction system. 243-244
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    Martin Faunes, Marouane Kessentini, Houari A. Sahraoui:
    Software clustering by example. 245-246
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    Mike Papadakis, Nicos Malevris:
    Automatic mutation based test data generation. 247-248
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    Outi Räihä, Kai Koskimies, Erkki Mäkinen:
    Multi-objective genetic synthesis of software architecture. 249-250
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    Sebastian Bauersfeld, Stefan Wappler, Joachim Wegener:
    An approach to automatic input sequence generation for GUI testing using ant colony optimization. 251-252

Self-* search track posters

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    Mikdam Turkey, Riccardo Poli:
    Social adaptive groups: a new approach for evolutionary optimisation based on social behaviour evolution. 253-254
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    José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Ender Özcan, Andrew J. Parkes:
    On the idea of evolving decision matrix hyper-heuristics for solving constraint satisfaction problems. 255-256
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    Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross:
    A hyper-heuristic for solving one and two-dimensional bin packing problems. 257-258
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    Mátyás Brendel, Marc Schoenauer:
    Instance-based parameter tuning for evolutionary AI planning. 259-260
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    José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Peter Ross, Santiago Enrique Conant-Pablos:
    Evolution of neural networks topologies and learning parameters to produce hyper-heuristics for constraint satisfaction problems. 261-262
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    Jürgen Branke, Jawad Elomari:
    Simultaneous tuning of metaheuristic parameters for various computing budgets. 263-264

Theory track posters

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    Chao Qian, Yang Yu, Zhi-Hua Zhou:
    Collisions are helpful for computing unique input-output sequences. 265-266
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    Marc Schoenauer, Fabien Teytaud, Olivier Teytaud:
    Simple tools for multimodal optimization. 267-268
• 
  • 
  • 
  • 
  • 
    Selmar K. Smit, Zoltán Szlávik, Ágoston E. Eiben:
    Population diversity index: a new measure for population diversity. 269-270

Evolutionary computation in practice

• 
  • 
  • 
  • 
  • 
    Ian Cox:
    Exploring opportunity spaces efficiently for fun and profit. 271-284

Evolutionary computation techniques for constraint handling

• 
  • 
  • 
  • 
  • 
    Donagh Hatton, Diarmuid P. O'Donoghue:
    Explorations on template-directed genetic repair using ancient ancestors and other templates. 325-332
• 
  • 
  • 
  • 
  • 
    Martin Holena, David Linke, Lukás Bajer:
    Case study: constraint handling in evolutionary optimization of catalytic materials. 333-340
• 
  • 
  • 
  • 
  • 
    Antonio Fernández, Consolación Gil, Antonio López Márquez, Raul Baños, Maria Dolores Gil Montoya, María Concepción Parra:
    A memetic algorithm for two-dimensional multi-objective bin-packing with constraints. 341-346
• 
  • 
  • 
  • 
  • 
    Xue-Feng Zhang, Miyuki Koshimura, Hiroshi Fujita, Ryuzo Hasegawa:
    Combining PSO and local search to solve scheduling problems. 347-354

Fourteenth international workshop on learning classifier systems

• 
  • 
  • 
  • 
  • 
    Kaveh Ahmadi Abhari, Ali Hamzeh, Sattar Hashemi:
    Voting based learning classifier system for multi-label classification. 355-360
• 
  • 
  • 
  • 
  • 
    Mohammad Behdad, Tim French, Luigi Barone, Mohammed Bennamoun:
    PCA for improving the performance of XCSF in classification of high-dimensional problems. 361-368
• 
  • 
  • 
  • 
  • 
    Ryan J. Urbanowicz, Nicholas A. Sinnott-Armstrong, Jason H. Moore:
    Random artificial incorporation of noise in a learning classifier system environment. 369-374
• 
  • 
  • 
  • 
  • 
    Muhammad Iqbal, Mengjie Zhang, Will N. Browne:
    Automatically defined functions for learning classifier systems. 375-382
• 
  • 
  • 
  • 
  • 
    Martin V. Butz, Olivier Sigaud:
    XCSF with local deletion: preventing detrimental forgetting. 383-390
• 
  • 
  • 
  • 
  • 
    Manuel Filipe Santos, Wesley Mathew, Henrique M. Dinis Santos:
    Grid data mining by means of learning classifier systems and distributed model induction. 391-398

Computational intelligence on consumer games and graphics hardware (CIGPU)

• 
  • 
  • 
  • 
  • 
    Leandro F. Cupertino, Cleomar Pereira da Silva, Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco, Cristiana Bentes:
    Evolving CUDA PTX programs by quantum inspired linear genetic programming. 399-406
• 
  • 
  • 
  • 
  • 
    Yuji Sato, Naohiro Hasegawa, Mikiko Sato:
    Acceleration of genetic algorithms for sudoku solution on many-core processors. 407-414
• 
  • 
  • 
  • 
  • 
    William B. Langdon:
    Debugging CUDA. 415-422
• 
  • 
  • 
  • 
  • 
    William B. Langdon:
    Performing with CUDA. 423-430
• 
  • 
  • 
  • 
  • 
    Petr Pospichal, Eoin Murphy, Michael O'Neill, Josef Schwarz, Jirí Jaros:
    Acceleration of grammatical evolution using graphics processing units: computational intelligence on consumer games and graphics hardware. 431-438
• 
  • 
  • 
  • 
  • 
    Martín Pedemonte, Enrique Alba, Francisco Luna:
    Bitwise operations for GPU implementation of genetic algorithms. 439-446
• 
  • 
  • 
  • 
  • 
    Tony E. Lewis, George D. Magoulas:
    Identifying similarities in TMBL programs with alignment to quicken their compilation for GPUs: computational intelligence on consumer games and graphics hardware. 447-454
• 
  • 
  • 
  • 
  • 
    Tony E. Lewis, George D. Magoulas:
    TMBL kernels for CUDA GPUs compile faster using PTX: computational intelligence on consumer games and graphics hardware. 455-462
• 
  • 
  • 
  • 
  • 
    Simon Harding, Wolfgang Banzhaf:
    Implementing cartesian genetic programming classifiers on graphics processing units using GPU.NET. 463-470

Medical applications of genetic and evolutionary computation (MedGEC)

• 
  • 
  • 
  • 
  • 
    Harold Soh, Yiannis Demiris:
    Multi-reward policies for medical applications: anthrax attacks and smart wheelchairs. 471-478
• 
  • 
  • 
  • 
  • 
    Manuel Cruz-Ramírez, Juan Carlos Fernández Caballero, Francisco Fernández-Navarro, Javier Briceño, Manuel de la Mata, César Hervás-Martínez:
    Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients. 479-486
• 
  • 
  • 
  • 
  • 
    Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni, Mario Giacobini, Ferdinando Di Cunto:
    Automatic hippocampus localization in histological images using PSO-based deformable models. 487-494
• 
  • 
  • 
  • 
  • 
    Satchidananda Dehuri, Rahul Roy, Sung-Bae Cho:
    An adaptive binary PSO to learn bayesian classifier for prognostic modeling of metabolic syndrome. 495-502
• 
  • 
  • 
  • 
  • 
    Stephan M. Winkler, Michael Affenzeller, Witold Jacak, Herbert Stekel:
    Identification of cancer diagnosis estimation models using evolutionary algorithms: a case study for breast cancer, melanoma, and cancer in the respiratory system. 503-510
• 
  • 
  • 
  • 
  • 
    Viktoria Dorfer, Stephan M. Winkler, Thomas Kern, Sophie A. Blank, Gerald Petz, Patrizia Faschang:
    On the performance of evolutionary algorithms in biomedical keyword clustering. 511-518

Evolutionary computation and multi-agent systems and simulation (ECoMASS) - fifth annual workshop

• 
  • 
  • 
  • 
  • 
    Syed Md. Galib, Irene Moser:
    Road traffic optimisation using an evolutionary game. 519-526
• 
  • 
  • 
  • 
  • 
    Mikdam Turkey, Riccardo Poli:
    A social behaviour evolution approach for evolutionary optimisation. 527-534
• 
  • 
  • 
  • 
  • 
    Gideon M. Gluckman, Joanna Bryson:
    An agent-based model of the effects of a primate social structure on the speed of natural selection. 535-542
• 
  • 
  • 
  • 
  • 
    M. Ehsan Shafiee, Emily M. Zechman:
    Sociotechnical simulation and evolutionary algorithm optimization for routing siren vehicles in a water distribution contamination event. 543-550
• 
  • 
  • 
  • 
  • 
    Robert Junges, Franziska Klügl:
    Evolution for modeling: a genetic programming framework for sesam. 551-558
• 
  • 
  • 
  • 
  • 
    Wei Guo, Wolfgang Jank, William Rand:
    Estimating functional agent-based models: an application to bid shading in online markets format. 559-566

1st workshop on evolutionary computation for designing generic algorithms

Bio-inspired solutions for wireless sensor networks (GECCO BIS-WSN 2011)

• 
  • 
  • 
  • 
  • 
    Giovanni Comarela, Kênia Carolina Gonçalves, Gisele Lobo Pappa, Jussara M. Almeida, Virgílio A. F. Almeida:
    Robot routing in sparse wireless sensor networks with continuous ant colony optimization. 599-606
• 
  • 
  • 
  • 
  • 
    André Siqueira Ruela, André Luiz Lins de Aquino, Frederico Gadelha Guimarães:
    A cooperative coevolutionary algorithm for the design of wireless sensor networks: track name: bio-inspired solutions for wireless sensor networks. 607-614
• 
  • 
  • 
  • 
  • 
    Hugo Hernández, Christian Blum:
    Implementing a model of Japanese tree frogs' calling behavior in sensor networks: a study of possible improvements. 615-622

3rd symbolic regression and modeling workshop for GECCO 2011

Optimization by building and using probabilistic models (OBUPM-2011)

• 
  • 
  • 
  • 
  • 
    Peter A. N. Bosman, Dirk Thierens:
    The roles of local search, model building and optimal mixing in evolutionary algorithms from a bbo perspective. 663-670
• 
  • 
  • 
  • 
  • 
    Cezary Z. Janikow, John W. Aleshunas, Mark Hauschild:
    Second order heuristics in ACGP. 671-678
• 
  • 
  • 
  • 
  • 
    Roberto Santana:
    Estimation of distribution algorithms: from available implementations to potential developments. 679-686

Scaling behaviours of landscapes, parameters and algorithms

GreenIT evolutionary computation

Graduate students workshop

• 
  • 
  • 
  • 
  • 
    Amit Benbassat, Moshe Sipper:
    Evolving board-game players with genetic programming. 739-742
• 
  • 
  • 
  • 
  • 
    Anke Endler, Martin V. Butz, Günter Daniel Rey:
    Extracting adaptation strategies for e-learning programs with XCS. 743-746
• 
  • 
  • 
  • 
  • 
    Mikdam Turkey, Riccardo Poli:
    Investigating a new paradigm for designing evolutionary optimisation algorithms using social behaviour evolution. 747-750
• 
  • 
  • 
  • 
  • 
    Erik Dovgan, Matjaz Gams, Bogdan Filipic:
    A multiobjective optimization algorithm for discovering driving strategies. 751-754
• 
  • 
  • 
  • 
  • 
    Armen Kherlopian, Francis A. Ortega, David J. Christini:
    Cardiac myocyte model parameter sensitivity analysis and model transformation using a genetic algorithm. 755-758
• 
  • 
  • 
  • 
  • 
    Fedor Tsarev, Kirill Egorov:
    Finite state machine induction using genetic algorithm based on testing and model checking. 759-762
• 
  • 
  • 
  • 
  • 
    Maxim Buzdalov:
    Generation of tests for programming challenge tasks using evolution algorithms. 763-766
• 
  • 
  • 
  • 
  • 
    Stefano Nichele:
    Discrete dynamics of cellular machines: specification and interpretation. 767-770
• 
  • 
  • 
  • 
  • 
    Saúl Zapotecas Martínez, Carlos A. Coello Coello:
    Swarm intelligence guided by multi-objective mathematical programming techniques. 771-774
• 
  • 
  • 
  • 
  • 
    Anton Alexandrov, Alexey A. Sergushichev, Sergey Kazakov, Fedor Tsarev:
    Genetic algorithm for induction of finite automata with continuous and discrete output actions. 775-778
• 
  • 
  • 
  • 
  • 
    Eoin Murphy:
    Examining grammars and grammatical evolution in dynamic environments. 779-782
• 
  • 
  • 
  • 
  • 
    David Fagan:
    Genotype-phenotype mapping in dynamic environments with grammatical evolution. 783-786
• 
  • 
  • 
  • 
  • 
    Sunith Bandaru, Kalyanmoy Deb:
    Design knowledge extraction in multi-objective optimization problems. 787-790
• 
  • 
  • 
  • 
  • 
    António Manuel Rodrigues Manso, Luís Miguel Parreira Correia:
    MuGA: multiset genetic algorithm. 791-794
• 
  • 
  • 
  • 
  • 
    Rogelio Salinas-Gutiérrez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce:
    Estimation of distribution algorithms based on copula functions. 795-798
• 
  • 
  • 
  • 
  • 
    Thomas Helmuth, Lee Spector, Brian Martin:
    Size-based tournaments for node selection. 799-802

Late breaking abstracts workshop

• 
  • 
  • 
  • 
  • 
    Zann Gill:
    Collaborative intelligence in living systems: algorithmic implications of evo-devo debates. 803-804
• 
  • 
  • 
  • 
  • 
    Emily M. Zechman, Marcio H. Giacomoni, M. Ehsan Shafiee:
    A multi-objective niching co-evolutionary algorithm (MNCA) for identifying diverse sets of non-dominated solutions. 805-806
• 
  • 
  • 
  • 
  • 
    David Andrew Cape, Daniel R. Tauritz:
    Probabilistically interpolated rational hypercube landscape evolutionary algorithm. 807-808
• 
  • 
  • 
  • 
  • 
    Sameer Kumar Singh, Ruppa K. Thulasiram, Parimala Thulasiraman:
    Pricing transmission rights using ant colony optimization. 809-810
• 
  • 
  • 
  • 
  • 
    Stephen Chen, James Montgomery:
    A simple strategy to maintain diversity and reduce crowding in particle swarm optimization. 811-812
• 
  • 
  • 
  • 
  • 
    Cem Celal Tutum, Zhun Fan:
    Automatic synthesis of MEMS devices using self-adaptive hybrid metaheuristics. 813-814
• 
  • 
  • 
  • 
  • 
    Olivier Regnier-Coudert, John A. W. McCall:
    Privacy-preserving approach to bayesian network structure learning from distributed data. 815-816
• 
  • 
  • 
  • 
  • 
    Sylvain Koos, Jean-Baptiste Mouret:
    Online adaptation of locomotion with evolutionary algorithms: a transferability-based approach. 817-818
• 
  • 
  • 
  • 
  • 
    José Pinto, Rui Ferreira Neves, Nuno Horta:
    Fitness function evaluation for MA trading strategies based on genetic algorithms. 819-820
• 
  • 
  • 
  • 
  • 
    Lisa Jing Yan, Nick Cercone:
    Bayesian networks learning for strategies in artificial life. 821-822
• 
  • 
  • 
  • 
  • 
    Mikiko Sato, Yuji Sato, Mitaro Namiki:
    Acceleration experiment of genetic computations for sudoku solution on multi-core processors. 823-824
• 
  • 
  • 
  • 
  • 
    Jong-Hyun Lee, Chang Wook Ahn:
    Improving energy efficiency based on behavioral model in a swarm of cooperative foraging robots. 825-826
• 
  • 
  • 
  • 
  • 
    Pedro Sousa, Carla Duarte, Manuel F. M. Barros, Jorge Guilherme, Nuno Horta:
    Optimal OpAmp sizing based on a fuzzy-genetic kernel. 827-828
• 
  • 
  • 
  • 
  • 
    Wojciech Jaskowski, Krzysztof Krawiec:
    How many dimensions in co-optimization. 829-830
• 
  • 
  • 
  • 
  • 
    Filippo Caschera, Martin M. Hanczyc, Steen Rasmussen:
    Machine learning for drug design, molecular machines and evolvable artificial cells. 831-832
• 
  • 
  • 
  • 
  • 
    Todor Dimitrov, Michael Baumann:
    Genetic algorithm with genetic engineering technology for multi-objective dynamic job shop scheduling problems. 833-834
• 
  • 
  • 
  • 
  • 
    David Iclanzan, Péter István Fülöp, Camelia Chira, Anca Gog:
    Towards the efficient evolution of particle-based computation in cellular automata. 835-836
• 
  • 
  • 
  • 
  • 
    Daniel Leal Souza, Glauber Duarte Monteiro, Tiago Carvalho Martins, Victor Alexandrovich Dmitriev, Otávio Noura Teixeira:
    PSO-GPU: accelerating particle swarm optimization in CUDA-based graphics processing units. 837-838

Introductory tutorials

• 
  • 
  • 
  • 
  • 
    Erik D. Goodman:
    Introduction to genetic algorithms. 839-860
• 
  • 
  • 
  • 
  • 
    Una-May O'Reilly:
    Genetic programming: a tutorial introduction. 861-874
• 
  • 
  • 
  • 
  • 
    Thomas Bäck:
    Evolution strategies: basic introduction. 875-898
• 
  • 
  • 
  • 
  • 
    Kenneth A. De Jong:
    Evolutionary computation: a unified approach. 899-912
• 
  • 
  • 
  • 
  • 
    Martin Pelikan:
    Probabilistic model-building genetic algorithms. 913-940
• 
  • 
  • 
  • 
  • 
    Martin V. Butz:
    Learning classifier systems. 941-962
• 
  • 
  • 
  • 
  • 
    Christian Blum:
    Ant colony optimization. 963-990
• 
  • 
  • 
  • 
  • 
    Nikolaus Hansen, Anne Auger:
    CMA-ES: evolution strategies and covariance matrix adaptation. 991-1010
• 
  • 
  • 
  • 
  • 
    Risto Miikkulainen:
    Evolving neural networks. 1011-1028

Advanced tutorials

• 
  • 
  • 
  • 
  • 
    Jonathan E. Rowe:
    Genetic algorithm theory. 1029-1052
• 
  • 
  • 
  • 
  • 
    Thomas Jansen, Frank Neumann:
    Computational complexity and evolutionary computation. 1053-1080
• 
  • 
  • 
  • 
  • 
    Lee Spector:
    Evolving quantum computer algorithms. 1081-1110
• 
  • 
  • 
  • 
  • 
    Dimo Brockhoff:
    Evolutionary multiobjective optimization. 1111-1136
• 
  • 
  • 
  • 
  • 
    Carlos Artemio Coello Coello:
    Constraint-handling techniques used with evolutionary algorithms. 1137-1160
• 
  • 
  • 
  • 
  • 
    Natalio Krasnogor:
    (Computational) synthetic biology. 1161-1190
• 
  • 
  • 
  • 
  • 
    Franz Rothlauf:
    Representations for evolutionary algorithms. 1191-1212
• 
  • 
  • 
  • 
  • 
    Tobias Friedrich, Frank Neumann:
    Foundations of evolutionary multi-objective optimization. 1213-1232

Specialized techniques and applications

• 
  • 
  • 
  • 
  • 
    Carsten Witt:
    Theory of randomized search heuristics in combinatorial optimization. 1233-1260
• 
  • 
  • 
  • 
  • 
    Julian F. Miller, Simon L. Harding:
    GECCO 2011 tutorial: cartesian genetic programming. 1261-1284
• 
  • 
  • 
  • 
  • 
    Jaume Bacardit, Xavier Llorà:
    Large scale data mining using genetics-based machine learning. 1285-1310
• 
  • 
  • 
  • 
  • 
    Benjamin Doerr:
    Drift analysis. 1311-1320
• 
  • 
  • 
  • 
  • 
    Gabriela Ochoa, Matthew R. Hyde, Edmund K. Burke:
    Automated heuristic design. 1321-1342
• 
  • 
  • 
  • 
  • 
    Lukás Sekanina:
    Evolution of digital circuits. 1343-1360
• 
  • 
  • 
  • 
  • 
    Thomas Bartz-Beielstein, Mike Preuss:
    Automatic and interactive tuning of algorithms. 1361-1380
• 
  • 
  • 
  • 
  • 
    Dirk Sudholt:
    Theory of swarm intelligence. 1381-1410
• 
  • 
  • 
  • 
  • 
    Stefan Wagner, Gabriel Kronberger:
    Algorithm and experiment design with heuristiclab: an open source optimization environment for research and education. 1411-1438
• 
  • 
  • 
  • 
  • 
    Alberto Moraglio:
    Geometry of evolutionary algorithms. 1439-1468
• 
  • 
  • 
  • 
  • 
    Marco Tomassini:
    Evolutionary games: the Darwin connection. 1469-1480
• 
  • 
  • 
  • 
  • 
    Sara Silva:
    Handling bloat in GP. 1481-1508

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