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GECCO 2014: Vancouver, BC, Canada - Companion Material

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  • Keynotes and invited talk
  • Track: biological and biomedical applications
  • Track: evolutionary combinatorial optimization and metaheuristics
  • Track: genetic algorithms
  • Track: real world applications
  • Introductory tutorials
  • Workshop: eighth annual workshop on evolutionary computation and multi-agent systems and simulation
  • Workshop: evolutionary synthesis of dynamical systems
  • Workshop: evolutionary computation for big data and big learning
  • Workshop: workshop on metaheuristic design patterns

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  Dirk V. Arnold, Enrique Alba:
  Genetic and Evolutionary Computation Conference, GECCO '14, Vancouver, BC, Canada, July 12-16, 2014, Companion Material Proceedings. ACM 2014, ISBN 978-1-4503-2881-4

Keynotes and invited talk

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    Yoshua Bengio:
    Deep learning and cultural evolution. 1-2
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    Dario Floreano:
    Bridging natural and artificial evolution. 3-4
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    Sumit Gulwani:
    Applications of program synthesis to end-user programming and intelligent tutoring systems. 5-6

Track: ant colony optimization and swarm intelligence

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    Ya-Hui Jia, Wei-Neng Chen, Xiaomin Hu:
    A PSO approach for software project planning. 7-8
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    Malte Langosz, Kai Alexander von Szadkowski, Frank Kirchner:
    Introducing particle swarm optimization into a genetic algorithm to evolve robot controllers. 9-10
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    Xing Liu, Lin Shang:
    Fitness proportionate selection based binary particle swarm optimization. 11-12
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    Christopher K. Monson, Kevin D. Seppi:
    Under-informed momentum in PSO. 13-14
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    Mengqi Peng, Yue-Jiao Gong, Jing-Jing Li, Ying-Biao Lin:
    Multi-swarm particle swarm optimization with multiple learning strategies. 15-16
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    Aymen Sioud, Caroline Gagné, Marc Gravel:
    An ant colony optimization for solving a hybrid flexible flowshop. 17-18
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    Qiuhang Tan, Hejun Wu, Biao Hu, Xingcheng Liu:
    An improved artificial bee colony algorithm for clustering. 19-20

Track: artificial immune systems

Track: artificial life, robotics, and evolvable hardware

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    Faith Agwang, Willem S. van Heerden, Geoff Nitschke:
    Lifetimes of migration. 25-26
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    Alan Blair:
    Incremental evolution of HERCL programs for robust control. 27-28
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    Martin Delecluse, Stéphane Sanchez, Sylvain Cussat-Blanc, Nicolas Schneider, Jean-Baptiste Welcomme:
    High-level behavior regulation for multi-robot systems. 29-30
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    Heiko Hamann:
    Evolving prediction machines: collective behaviors based on minimal surprisal. 31-32
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    Walter O. Krawec:
    Minimal variable quantum decision makers for robotic control. 33-34
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    Padmini Rajagopalan, Aditya Rawal, Kay E. Holekamp, Risto Miikkulainen:
    General intelligence through prolonged evolution of densely connected neural networks. 35-36

Track: biological and biomedical applications

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    Soha Ahmed, Mengjie Zhang, Lifeng Peng:
    Prediction of detectable peptides in MS data using genetic programming. 37-38
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    Vitoantonio Bevilacqua, Paolo Pannarale:
    A semantic expert system for the evolutionary design of synthetic gene networks. 39-40
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    Javier Garcia-Bernardo, Margaret J. Eppstein:
    Evolving small GRNs with a top-down approach. 41-42
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    Hongjian Li, Kwong-Sak Leung, Chun Ho Chan, Hei Lun Cheung, Man Hon Wong:
    iSYN: de novo drug design with click chemistry support. 43-44

Track: digital entertainment technologies and arts

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    Lucas Ferreira, Leonardo T. Pereira, Claudio Fabiano Motta Toledo:
    A multi-population genetic algorithm for procedural generation of levels for platform games. 45-46
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    Lucas Ferreira, Leonardo T. Pereira, Claudio Fabiano Motta Toledo, Rodrigo de Freitas Pereira:
    Evolutionary approaches to evolve AI scripts for a RTS game. 47-48
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    Rubén Héctor García-Ortega, Pablo García-Sánchez, Antonio Miguel Mora, Juan Julián Merelo Guervós:
    A methodology for designing emergent literary backstories on non-player characters using genetic algorithms. 49-50
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    Maxime Sanselone, Stéphane Sanchez, Cédric Sanza, David Panzoli, Yves Duthen:
    Control of non player characters in a medical learning game with Monte Carlo tree search. 51-52

Track: estimation of distribution algorithms

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    Chung-Yao Chuang, Stephen F. Smith:
    Estimation of distribution algorithms based on n-gramstatistics for sequencing and optimization. 53-54
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    Hadi Sharifi, Amin Nikanjam, Hossein Karshenas, Negar Najimi:
    Complexity of model learning in EDAs: multi-structure problems. 55-56
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    Bo Wang, Hua Xu, Yuan Yuan:
    A two-level hierarchical EDA using conjugate priori. 57-58

Track: evolution strategies and evolutionary programming

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    Walter O. Krawec:
    An algorithm for evolving multiple quantum operators for arbitrary quantum computational problems. 59-60
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    Jialin Liu, David Lupien St-Pierre, Olivier Teytaud:
    A mathematically derived number of resamplings for noisy optimization. 61-62
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    Juan Pablo Serrano Rubio, Arturo Hernández Aguirre, Rafael Herrera Guzmán:
    SEA: an evolutionary algorithm based on spherical inversions. 63-64

Track: evolutionary combinatorial optimization and metaheuristics

Track: evolutionary machine learning

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    Alessia Amelio, Clara Pizzuti:
    Uncovering communities in multidimensional networks with multiobjective genetic algorithms. 75-76
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    Daniel Lückehe, Oliver Kramer:
    A variable kernel function for hybrid unsupervised kernel regression. 77-78
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    Mina Moradi Kordmahalleh, Mohammad Gorji Sefidmazgi, Abdollah Homaifar, K. C. Dukka Bahadur, Anthony Guiseppi-Elie:
    Time-series forecasting with evolvable partially connected artificial neural network. 79-80
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    Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata:
    Novelty-organizing classifiers applied to classification and reinforcement learning: towards flexible algorithms. 81-82
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    Bing Xue, Wenlong Fu, Mengjie Zhang:
    Differential evolution (DE) for multi-objective feature selection in classification. 83-84

Track: evolutionary multiobjective optimization

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    Abir Chaabani, Slim Bechikh, Lamjed Ben Said:
    An indicator-based chemical reaction optimization algorithm for multi-objective search. 85-86
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    Wentao Guo, Xinjie Yu:
    Non-dominated sorting differential evolution with improved directional convergence and spread for multiobjective optimization. 87-88
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    Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima:
    Meta-level multi-objective formulations of set optimization for multi-objective optimization problems: multi-reference point approach to hypervolume maximization. 89-90
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    Kaname Narukawa, Yuki Tanigaki, Hisao Ishibuchi:
    Evolutionary many-objective optimization using preference on hyperplane. 91-92
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    Yutao Qi, Xiaoliang Ma, Minglei Yin, Fang Liu, Jingxuan Wei:
    MOEA/D with a delaunay triangulation based weight adjustment. 93-94
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    Pradyumn Kumar Shukla, Marlon Alexander Braun, Hartmut Schmeck:
    On the interrelationships between knees and aggregate objective functions. 95-96
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    Fugui Zhong, Bo Yuan, Bin Li:
    Hybridization of NSGA-II with greedy re-assignment for variation tolerant logic mapping on nano-scale crossbar architectures. 97-98

Track: generative and developmental systems

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    Ben Cole, Michael Muthukrishna:
    Nu-life: spontaneous dynamic hierarchical organization in a non-uniform "life-like" cellular automata. 99-100
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    Jean Disset, Sylvain Cussat-Blanc, Yves Duthen:
    Toward organogenesis of artificial creatures. 101-102
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    Phillip Verbancsics, Joshua Harguess:
    Deep learning through generative and developmental system. 103-104

Track: genetic algorithms

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    Daniel Cagara, Ana L. C. Bazzan, Björn Scheuermann:
    Getting you faster to work: a genetic algorithm approach to the traffic assignment problem. 105-106
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    Taku Hasegawa, Kaname Matsumura, Kaiki Tsuchie, Naoki Mori, Keinosuke Matsumoto:
    Novel virtual fitness evaluation framework for fitness landscape learning evolutionary computation. 107-108
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    Conor Higgins, Conor Ryan, Áine Kearns, Mikael Fernström:
    The creation and facilitation of speech and language therapy sessions for individuals with aphasia. 109-110
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    Xiao-ma Huang, Yue-Jiao Gong, Jing-Jing Li, Xiaomin Hu:
    A novel genetic algorithm based on partitioning for large-scale network design problems. 111-112
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    Kazuyuki Inoue, Naoki Mori, Keinosuke Matsumoto:
    A novel genetic algorithm based on the life cycle of dictyostelium. 113-114
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    Karthik Kuber, Stuart W. Card, Kishan G. Mehrotra, Chilukuri K. Mohan:
    Ancestral networks in evolutionary algorithms. 115-116
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    Ho Tat Lam, Kwok Yip Szeto:
    Search for the most reliable network of fixed connectivity using genetic algorithm. 117-118
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    Juan Julián Merelo Guervós, Pedro A. Castillo, Antonio Miguel Mora, Anna Isabel Esparcia-Alcázar, Víctor Manuel Rivas Santos:
    Assessing different architectures for evolutionary algorithms in javascript. 119-120
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    Janusz Orkisz, Maciej Glowacki:
    On dedicated evolutionary algorithms for large non-linear constrained optimization problems. 121-122
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    Ming Yang, Jing Guan, Zhihua Cai, Changhe Li:
    A dimensional-level adaptive differential evolutionary algorithm for continuous optimization. 123-124
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    Xinyuan Zhang, Yue-jiao Gong, Jing-Jing Li, Ying Lin:
    Evolutionary computation for lifetime maximization of wireless sensor networks in complex 3D environments. 125-126

Track: genetic programming

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    R. Muhammad Atif Azad, David Medernach, Conor Ryan:
    Efficient interleaved sampling of training data in genetic programming. 127-128
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    Kevin M. Barresi:
    Evolved nonlinear predictor functions for lossless image compression. 129-130
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    Gopinath Chennupati, Conor Ryan, R. Muhammad Atif Azad:
    Predict the success or failure of an evolutionary algorithm run. 131-132
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    Adam T. S. Cohen, Tony White:
    CityBreeder: city design with evolutionary computation. 133-134
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    Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo:
    Comparison of linear genetic programming variants for symbolic regression. 135-136
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    Marco Gaudesi, Giovanni Squillero, Alberto Paolo Tonda:
    Universal information distance for genetic programming. 137-138
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    Muhammad Rezaul Karim, Conor Ryan:
    On improving grammatical evolution performance in symbolic regression with attribute grammar. 139-140
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    William G. La Cava, Lee Spector, Kourosh Danai, Matthew Lackner:
    Evolving differential equations with developmental linear genetic programming and epigenetic hill climbing. 141-142
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    Andrea Mambrini, Luca Manzoni:
    A comparison between geometric semantic GP and cartesian GP for boolean functions learning. 143-144
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    Michael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman:
    Incorporating expert knowledge in object-oriented genetic programming. 145-146
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    Lee Spector, Thomas Helmuth:
    Effective simplification of evolved push programs using a simple, stochastic hill-climber. 147-148
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    Guilherme Cesário Strachan, Adriano Soares Koshiyama, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco:
    Towards a quantum-inspired multi-gene linear genetic programming model. 149-150
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    Seishi Takamura, Atsushi Shimizu:
    GPGPU-assisted denoising filter generation for video coding. 151-152
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    Yanyun Tao, Yuzhen Zhang, Lijun Zhang, Chao Gu:
    A projection-based decomposition in EHW method for design of relatively large circuits. 153-154

Track: integrative genetic and evolutionary computation

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    Manal T. Adham, Peter J. Bentley:
    An artificial ecosystem algorithm applied to the travelling salesman problem. 155-156
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    Michael Kirley, Friedrich Burkhard von der Osten:
    Risk aversion and mobility in the public goods game. 157-158
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    Jeffrey Tsang:
    The structure of an 8-state finite transducer representation for prisoner's dilemma. 159-160
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    Shujin Ye, Han Huang, Changjian Xu:
    Enhancing the differential evolution with convergence speed controller for continuous optimization problems. 161-162

Track: parallel evolutionary systems

Track: real world applications

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    Eric Yawei Chen, Lin-Shung Huang, Ole J. Mengshoel, Jason D. Lohn:
    Darwin: a ground truth agnostic CAPTCHA generator using evolutionary algorithm. 165-166
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    Peng Cheng, Jeng-Shyang Pan:
    Completely hide sensitive association rules using EMO by deleting transactions. 167-168
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    Amirali Darvishzadeh, Bir Bhanu:
    Distributed multi-robot search in the real-world using modified particle swarm optimization. 169-170
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    Walter O. Krawec:
    Using evolutionary techniques to analyze the security of quantum key distribution protocols. 171-172
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    Soumya D. Mohanty:
    Detection and estimation of unmodeled narrowband nonstationary signals: application of particle swarm optimization in gravitational wave data analysis. 173-174
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    Satoshi Ono, Takeru Maehara, Kentaro Nakai, Ryo Ikeda, Koutaro Taniguchi:
    Semi-fragile watermark design for detecting illegal two-dimensional barcodes by evolutionary multi-objective optimization. 175-176
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    Shana Schlottfeldt, Jon Timmis, Maria Emília M. T. Walter, André C. P. L. F. de Carvalho, José Alexandre Felizola Diniz-Filho, Lorena M. Simon, Rafael D. Loyola, Mariana P. C. Telles:
    Multi-objective optimization applied to systematic conservation planning and spatial conservation priorities under climate change. 177-178
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    Ervin Teng, Derek Kozel, Bob Iannucci, Jason D. Lohn:
    Evolution of digital modulation schemes for radio systems. 179-180
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    Charlie Vanaret, Nicolas Durand, Jean-Marc Alliot:
    Windmill farm pattern optimization using evolutionary algorithms. 181-182
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    Guang-Wei Zhang, Zhi-Hui Zhan, Ke-Jing Du, Wei-Neng Chen:
    Normalization group brain storm optimization for power electronic circuit optimization. 183-184

Track: search based software engineering

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    Xin Cheng, Yuanyuan Huang, Xinye Cai, Ou Wei:
    An adaptive memetic agorithm based on multiobjecitve optimization for software next release problem. 185-186
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    Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Mel Ó Cinnéide, Kalyanmoy Deb:
    Software refactoring under uncertainty: a robust multi-objective approach. 187-188
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    Zhilei Ren, He Jiang, Jifeng Xuan, Shuwei Zhang, Zhongxuan Luo:
    Learning from evolved next release problem instances. 189-190

Track: self-* search

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    Arthur Ervin Avramiea, Giorgos Karafotias, A. E. Eiben:
    Fate agent evolutionary algorithms with self-adaptive mutation. 191-192
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    Stephanus Daniel Handoko, Duc Thien Nguyen, Zhi Yuan, Hoong Chuin Lau:
    Reinforcement learning for adaptive operator selection in memetic search applied to quadratic assignment problem. 193-194
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    Matthew A. Martin, Daniel R. Tauritz:
    Multi-sample evolution of robust black-box search algorithms. 195-196
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    Mustafa Misir, Stephanus Daniel Handoko, Hoong Chuin Lau:
    Building algorithm portfolios for memetic algorithms. 197-198
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    Luís F. Simões, A. E. Eiben:
    On the locality of neural meta-representations. 199-200

Track: theory

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    Maxim Buzdalov, Arina Buzdalova:
    Onemax helps optimizing XdivK: : theoretical runtime analysis for RLS and EA+RL. 201-202
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    Narine Manukyan, Margaret J. Eppstein, Jeffrey S. Buzas:
    NM landscapes: beyond NK. 203-204

Introductory tutorials

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    Erik D. Goodman:
    Introduction to genetic algorithms. 205-226
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    Una-May O'Reilly:
    Genetic programming: a tutorial introduction. 227-250
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    Thomas Bäck:
    Introduction to evolution strategies. 251-280
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    Kenneth A. De Jong:
    Evolutionary computation: a unified approach. 281-296
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    Dimo Brockhoff:
    GECCO 2014 tutorial on evolutionary multiobjective optimization. 297-322
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    Franz Rothlauf:
    Representations for evolutionary algorithms. 323-344
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    Mark Wineberg:
    Statistical analysis for evolutionary computation: an introduction. 345-380
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    Andries P. Engelbrecht:
    Particle swarm optimization. 381-406
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    Pier Luca Lanzi:
    Learning classifier systems: a gentle introduction. 407-430
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    Dirk Thierens, Peter A. N. Bosman:
    Model-based evolutionary algorithms. 431-458
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    Per Kristian Lehre, Pietro S. Oliveto:
    Runtime analysis of evolutionary algorithms: basic introduction. 459-486
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    Risto Miikkulainen:
    Evolving neural networks. 487-512

Advanced tutorials

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    Nikolaus Hansen, Anne Auger:
    Evolution strategies and CMA-ES (covariance matrix adaptation). 513-534
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    Carlos Artemio Coello Coello:
    Constraint-handling techniques used with evolutionary algorithms. 535-558
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    L. Darrell Whitley:
    Blind no more: constant time non-random improving moves and exponentially powerful recombination. 559-580
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    Lee Spector:
    Expressive genetic programming. 581-606
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    Frank Neumann, Andrew M. Sutton:
    Parameterized complexity analysis of evolutionary algorithms. 607-622
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    Benjamin Doerr, Carola Doerr:
    Black-box complexity: from complexity theory to playing mastermind. 623-646
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    Carsten Witt:
    Bioinspired computation in combinatorial optimization: algorithms and their computational complexity. 647-686
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    Dirk Sudholt:
    Theory of swarm intelligence. 687-708
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    Luigi Malagò, Tobias Glasmachers:
    Information geometry in evolutionary computation. 709-726

Specialized tutorials

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    Enrique Alba:
    Cellular genetic algorithms. 733-748
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    Thomas Jansen, Christine Zarges:
    Artificial immune systems for optimisation. 749-764
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    Kenneth O. Stanley:
    Generative and developmental systems tutorial. 765-794
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    Stefano Cagnoni:
    Evolutionary image analysis and signal processing. 795-818
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    Xiaodong Li:
    Decomposition and cooperative coevolution techniques for large scale global optimization. 819-838
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    Amarda Shehu, Kenneth A. De Jong:
    Evolutionary search algorithms for protein modeling: from de novo structure prediction to comprehensive maps of functionally-relevant structures of protein chains and assemblies. 839-856
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    Kalyanmoy Deb, Ankur Sinha:
    Evolutionary bilevel optimization (EBO). 857-876
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    Marco Tomassini:
    Introduction to evolutionary game theory. 877-890
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    Stephen L. Smith:
    Medical applications of evolutionary computation. 891-920
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    Manuel López-Ibáñez, Thomas Stützle:
    Automatic (offline) configuration of algorithms. 921-946
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    Navneet Bhalla, Peter J. Bentley, Marco Dorigo:
    Self-assembly. 947-966

Workshop: 17th annual international workshop on learning classifier systems

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    Isidro M. Alvarez, Will N. Browne, Mengjie Zhang:
    Reusing learned functionality in XCS: code fragments with constructed functionality and constructed features. 969-976
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    Karthik Kuber, Stuart W. Card, Kishan G. Mehrotra, Chilukuri K. Mohan:
    Rule networks in learning classifier systems. 977-982

Workshop: eighth annual workshop on evolutionary computation and multi-agent systems and simulation

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    Yiqi Deng, Peter J. Bentley:
    Dynamic learning of heart sounds with changing noise: an ais-based multi-agent model using systemic computation. 985-992
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    Hamza Gharsellaoui, Hamadi Hasni, Samir Ben Ahmed:
    A genetic based scheduling approach of real-time reconfigurable embedded systems. 993-998
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    Sherri Goings, Emily P. M. Johnston, Naozumi Hiranuma:
    The effect of communication on the evolution of cooperative behavior in a multi-agent system. 999-1006
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    Bin Jiang, Lei Wang, Chao Yang, Shuming Peng, Renfa Li:
    Modeling the information propagation in an email communication network using an agent-based approach. 1007-1014
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    Rodolfo Ayala Lopes, Rodrigo César Pedrosa Silva, Alan R. R. de Freitas, Felipe Campelo, Frederico G. Guimarães:
    A study on the configuration of migratory flows in island model differential evolution. 1015-1022

Workshop: student workshop

• 
  • 
  • 
  • 
  • 
    Jeremy Acre, Nicholas Zoller, Brent E. Eskridge:
    Effects of personality decay on collective movements. 1025-1028
• 
  • 
  • 
  • 
  • 
    Hazem Radwan Ahmed:
    An efficient fitness-based stagnation detection method for particle swarm optimization. 1029-1032
• 
  • 
  • 
  • 
  • 
    Arina Buzdalova, Vladislav Kononov, Maxim Buzdalov:
    Selecting evolutionary operators using reinforcement learning: initial explorations. 1033-1036
• 
  • 
  • 
  • 
  • 
    Igor Buzhinsky, Daniil Chivilikhin, Vladimir Ulyantsev, Fedor Tsarev:
    Improving the quality of supervised finite-state machine construction using real-valued variables. 1037-1040
• 
  • 
  • 
  • 
  • 
    Gopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan:
    Multi-core GE: automatic evolution of CPU based multi-core parallel programs. 1041-1044
• 
  • 
  • 
  • 
  • 
    Shikha Gupta, Naveen Kumar:
    Parameter tuning in quantum-inspired evolutionary algorithms for partitioning complex networks. 1045-1048
• 
  • 
  • 
  • 
  • 
    Mark Khazanov, Julian Jocque, John Rieffel:
    Developing morphological computation in tensegrity robots for controllable actuation. 1049-1052
• 
  • 
  • 
  • 
  • 
    Yiping Liu, Dunwei Gong, Xiaoyan Sun, Yong Zhang:
    A reference points-based evolutionary algorithm for many-objective optimization. 1053-1056
• 
  • 
  • 
  • 
  • 
    Lukasz Rokita, PrzemysLaw Ogrodowski:
    Particles types in a swarm: searching for efficiency. 1057-1060
• 
  • 
  • 
  • 
  • 
    David Peter Shorten, Geoff Nitschke:
    Flood evolution: changing the evolutionary substrate from a path of stepping stones to a field of rocks. 1061-1064
• 
  • 
  • 
  • 
  • 
    Timothy Solum, Brent E. Eskridge, Ingo Schlupp:
    Consensus costs and conflict in robot swarms. 1065-1068
• 
  • 
  • 
  • 
  • 
    Masaki Suzuki, Taro Matsumaru, Setsuo Tsuruta, Rainer Knauf, Takaaki Motomura, Yoshitaka Sakurai:
    A case based approach for an intelligent route optimization technology. 1069-1072
• 
  • 
  • 
  • 
  • 
    Hongjun Yang, Yixu Song, Lihua Wang, Peifa Jia:
    A niching cumulative genetic algorithm with evaluated probability for multimodal optimization. 1073-1076
• 
  • 
  • 
  • 
  • 
    Haoxi Zhan:
    A quantitative analysis of the simplification genetic operator. 1077-1080

Workshop: visualisation methods in genetic and evolutionary computation

• 
  • 
  • 
  • 
  • 
    Matthew J. Craven, Henri C. Jimbo:
    EA stability visualization: perturbations, metrics and performance. 1083-1090
• 
  • 
  • 
  • 
  • 
    Alan R. R. de Freitas, Rodrigo C. P. Silva, Frederico G. Guimarães:
    On the visualization of trade-offs and reducibility in many-objective optimization. 1091-1098
• 
  • 
  • 
  • 
  • 
    Tea Tusar, Bogdan Filipic:
    Initial experiments in visualization of empirical attainment function differences using maximum intensity projection. 1099-1106

Workshop: evolutionary computation software systems

• 
  • 
  • 
  • 
  • 
    Andreas Beham, Johannes Karder, Gabriel Kronberger, Stefan Wagner, Michael Kommenda, Andreas Scheibenpflug:
    Scripting and framework integration in heuristic optimization environments. 1109-1116
• 
  • 
  • 
  • 
  • 
    James Brookhouse, Fernando E. B. Otero, Michael Kampouridis:
    Working with OpenCL to speed up a genetic programming financial forecasting algorithm: initial results. 1117-1124
• 
  • 
  • 
  • 
  • 
    Ramin Etemaadi, Michel R. V. Chaudron:
    Distributed optimization on super computers: case study on software architecture optimization framework. 1125-1132
• 
  • 
  • 
  • 
  • 
    Alexander E. I. Brownlee, Jerry Swan, Ender Özcan, Andrew J. Parkes:
    Hyperion2: a toolkit for {meta-, hyper-} heuristic research. 1133-1140
• 
  • 
  • 
  • 
  • 
    Simone Cirillo, Stefan Lloyd:
    A scalable symbolic expression tree interpreter for the heuristiclab optimization framework. 1141-1148
• 
  • 
  • 
  • 
  • 
    Claris Leroux, Fernando E. B. Otero, Colin G. Johnson:
    A genetic programming problem definition language code generator for the epochX framework. 1149-1154
• 
  • 
  • 
  • 
  • 
    Juan Julián Merelo Guervós, Pedro Ángel Castillo Valdivieso, Antonio Mora García, Anna Esparcia-Alcázar, Víctor Manuel Rivas Santos:
    NodEO, a multi-paradigm distributed evolutionary algorithm platform in JavaScript. 1155-1162

Workshop: evolutionary synthesis of dynamical systems

• 
  • 
  • 
  • 
  • 
    Xinye Cai, Xin Cheng, Zhun Fan:
    A probabilistic pareto local search based on historical success counting for multiobjective optimization. 1163-1168
• 
  • 
  • 
  • 
  • 
    Zhun Fan, Xinye Cai, Wenji Li, Huibiao Lin, Shuxiang Xie, Sheng Wang:
    Evolutionary synthesis of dynamical systems: the past, current, and future. 1169-1174
• 
  • 
  • 
  • 
  • 
    Wenji Li, Zhun Fan, Xinye Cai, Huibiao Lin, Shuxiang Xie, Sheng Wang:
    Design optimization of MEMS using constrained multi-objective evolutionary algorithm. 1175-1180
• 
  • 
  • 
  • 
  • 
    Zhixiang Yang, Xinye Cai, Zhun Fan:
    Epsilon constrained method for constrained multiobjective optimization problems: some preliminary results. 1181-1186

Workshop: green and efficient energy applications of genetic and evolutionary computation

• 
  • 
  • 
  • 
  • 
    Ngoc Hoang Luong, Marinus O. W. Grond, Han La Poutré, Peter A. N. Bosman:
    Efficiency enhancements for evolutionary capacity planning in distribution grids. 1189-1196
• 
  • 
  • 
  • 
  • 
    Joan Meseguer Llopis, Lukasz Rajewski, Slawomir Kuklinski:
    Reinforcement learning based energy efficient LTE RAN. 1197-1204
• 
  • 
  • 
  • 
  • 
    Yi Cheng Ren, Junichi Suzuki, Chonho Lee, Athanasios V. Vasilakos, Shingo Omura, Katsuya Oba:
    Balancing performance, resource efficiency and energy efficiency for virtual machine deployment in DVFS-enabled clouds: an evolutionary game theoretic approach. 1205-1212
• 
  • 
  • 
  • 
  • 
    Alexandru-Adrian Tantar, Emilia Tantar:
    A survey on sustainability in ICT: a computing perspective. 1213-1220

Workshop: workshop on problem understanding and real-world optimisation

• 
  • 
  • 
  • 
  • 
    Abhinav Jauhri, Jason D. Lohn, Derek S. Linden:
    A comparison of antenna placement algorithms. 1223-1230
• 
  • 
  • 
  • 
  • 
    Chao Yang, Shuming Peng, Bin Jiang, Lei Wang, Renfa Li:
    Hyper-heuristic genetic algorithm for solving frequency assignment problem in TD-SCDMA. 1231-1238
• 
  • 
  • 
  • 
  • 
    Emma Hart, Kevin Sim, Neil Urquhart:
    A real-world employee scheduling and routing application. 1239-1242

Workshop: workshop on genetic and evolutionary computation in defense, security and risk management

• 
  • 
  • 
  • 
  • 
    Antonio Miguel Mora, Paloma de las Cuevas, Juan Julián Merelo Guervós, Sergio Zamarripa, Anna Isabel Esparcia-Alcázar:
    Enforcing corporate security policies via computational intelligence techniques. 1245-1252
• 
  • 
  • 
  • 
  • 
    Fariba Haddadi, Dylan Runkel, Nur Zincir-Heywood, Malcolm I. Heywood:
    On botnet behaviour analysis using GP and C4.5. 1253-1260
• 
  • 
  • 
  • 
  • 
    David J. John, Robert W. Smith, William H. Turkett Jr., Daniel A. Cañas, Errin W. Fulp:
    Evolutionary based moving target cyber defense. 1261-1268
• 
  • 
  • 
  • 
  • 
    Jamieson McCausland, Rami S. Abielmona, Rafael Falcon, Ana-Maria Cretu, Emil M. Petriu:
    On the role of multi-objective optimization in risk mitigation for critical infrastructures with robotic sensor networks. 1269-1276

Workshop: evolutionary computation for big data and big learning

Workshop: medical applications of genetic and evolutionary computation

• 
  • 
  • 
  • 
  • 
    Arpit Bhardwaj, Aruna Tiwari, M. Vishaal Varma, M. Ramesh Krishna:
    Classification of EEG signals using a novel genetic programming approach. 1297-1304
• 
  • 
  • 
  • 
  • 
    José Ignacio Hidalgo, J. Manuel Colmenar, José Luis Risco-Martín, Esther Maqueda, Marta Botella, José Antonio Rubio, Alfredo Cuesta-Infante, Oscar Garnica, Juan Lanchares:
    Clarke and parkes error grid analysis of diabetic glucose models obtained with evolutionary computation. 1305-1312
• 
  • 
  • 
  • 
  • 
    Salim Lahmiri, Mounir Boukadoum:
    An evaluation of particle swarm optimization techniques in segmentation of biomedical images. 1313-1320
• 
  • 
  • 
  • 
  • 
    Michael A. Lones, Jane E. Alty, Philippa Duggan-Carter, Andrew James Turner, D. R. Stuart Jamieson, Stephen L. Smith:
    Classification and characterisation of movement patterns during levodopa therapy for parkinson's disease. 1321-1328
• 
  • 
  • 
  • 
  • 
    Junichi Suzuki, Pruet Boonma:
    Noise-aware evolutionary TDMA optimization for neuronal signaling in medical sensor-actuator networks. 1329-1336
• 
  • 
  • 
  • 
  • 
    Stephan M. Winkler, Michael Affenzeller, Susanne Schaller, Herbert Stekel:
    Data based prediction of cancer diagnoses using heterogeneous model ensembles: a case study for breast cancer, melanoma, and cancer in the respiratory system. 1337-1344

Workshop: symbolic regression and modelling

Workshop: 4th workshop on evolutionary computation for the automated design of algorithms

• 
  • 
  • 
  • 
  • 
    Saemundur O. Haraldsson, John R. Woodward:
    Automated design of algorithms and genetic improvement: contrast and commonalities. 1373-1380
• 
  • 
  • 
  • 
  • 
    Libin Hong, John H. Drake, Ender Özcan:
    A step size based self-adaptive mutation operator for evolutionary programming. 1381-1388
• 
  • 
  • 
  • 
  • 
    Matthew A. Martin, Daniel R. Tauritz:
    A problem configuration study of the robustness of a black-box search algorithm hyper-heuristic. 1389-1396
• 
  • 
  • 
  • 
  • 
    John R. Woodward, Simon Martin, Jerry Swan:
    Benchmarks that matter for genetic programming. 1397-1404

Workshop: workshop on metaheuristic design patterns

• 
  • 
  • 
  • 
  • 
    Ben Kovitz, Jerry Swan:
    Structural stigmergy: a speculative pattern language for metaheuristics. 1407-1410
• 
  • 
  • 
  • 
  • 
    Ben Kovitz, Jerry Swan:
    Tagging in metaheuristics. 1411-1414
• 
  • 
  • 
  • 
  • 
    Krzysztof Krawiec:
    Metaheuristic design pattern: candidate solution repair. 1415-1418
• 
  • 
  • 
  • 
  • 
    Michael A. Lones:
    Metaheuristics in nature-inspired algorithms. 1419-1422
• 
  • 
  • 
  • 
  • 
    Manuel López-Ibáñez, Franco Mascia, Marie-Eléonore Marmion, Thomas Stützle:
    A template for designing single-solution hybrid metaheuristics. 1423-1426
• 
  • 
  • 
  • 
  • 
    Geoffrey Neumann, Jerry Swan, Mark Harman, John A. Clark:
    The executable experimental template pattern for the systematic comparison of metaheuristics: Extended Abstract. 1427-1430
• 
  • 
  • 
  • 
  • 
    Mark R. N. Shackelford, Christopher L. Simons:
    Metaheuristic design pattern: interactive solution presentation. 1431-1434
• 
  • 
  • 
  • 
  • 
    Jerry Swan, Zoltan A. Kocsis, Alexei Lisitsa:
    The 'representative' metaheuristic design pattern. 1435-1436
• 
  • 
  • 
  • 
  • 
    John Robert Woodward, Jerry Swan:
    Template method hyper-heuristics. 1437-1438
• 
  • 
  • 
  • 
  • 
    John R. Woodward, Jerry Swan, Simon Martin:
    The 'composite' design pattern in metaheuristics. 1439-1444

Late breaking abstracts

• 
  • 
  • 
  • 
  • 
    Maxim Buzdalov, Irina Petrova, Arina Buzdalova:
    NSGA-II implementation details may influence quality of solutions for the job-shop scheduling problem. 1445-1446
• 
  • 
  • 
  • 
  • 
    Stephen Chen, James Montgomery, Antonio Bolufé Röhler:
    Some measurements on the effects of the curse of dimensionality. 1447-1448
• 
  • 
  • 
  • 
  • 
    Marcin Cwiek, Jakub Nalepa:
    A fast genetic algorithm for the flexible job shop scheduling problem. 1449-1450
• 
  • 
  • 
  • 
  • 
    Omid E. David, Iddo Greental:
    Genetic algorithms for evolving deep neural networks. 1451-1452
• 
  • 
  • 
  • 
  • 
    Emerson Hochsteiner de Vasconcelos Segundo, Gabriel Fiori Neto, Andre Mendes da Silva, Viviana Cocco Mariani, Leandro dos Santos Coelho:
    A modified gravitational search algorithm for continuous optimization. 1453-1454
• 
  • 
  • 
  • 
  • 
    Leandro dos Santos Coelho, Viviana Cocco Mariani, Helon Vicente Hultmann Ayala, Andre Mendes da Silva, Nelson Jhoe Batistela, Jean Vianei Leite:
    Bat-inspired optimization approach applied to jiles-atherton hysteresis parameters tuning. 1455-1456
• 
  • 
  • 
  • 
  • 
    Javier Fernández-Rendón, Katya Rodríguez-Vázquez:
    Portfolio optimization using an integer genetic algorithm. 1457-1458
• 
  • 
  • 
  • 
  • 
    Mauricio García-Limón, Hugo Jair Escalante, Manuel Montes-y-Gómez, Alicia Morales-Reyes, Eduardo F. Morales:
    Towards the automated generation of term-weighting schemes for text categorization. 1459-1460
• 
  • 
  • 
  • 
  • 
    Jinhyun Kim, Byung-Ro Moon:
    A genetic algorithm for linear ordering problem using an approximate fitness evaluation. 1461-1462
• 
  • 
  • 
  • 
  • 
    Marco A. F. Mollinetti, Daniel Leal Souza, Otávio Noura Teixeira:
    ABC+ES: a novel hybrid artificial bee colony algorithm with evolution strategies. 1463-1464
• 
  • 
  • 
  • 
  • 
    Frank W. Moore, Brendan J. Babb:
    Evolved transforms for improved reconstruction of lossy-compressed NASA images. 1465-1466
• 
  • 
  • 
  • 
  • 
    Jakub Nalepa:
    Adaptive memetic algorithm for the vehicle routing problem with time windows. 1467-1468
• 
  • 
  • 
  • 
  • 
    Mathias Ngo, Raphaël Labayrade:
    An iterative model refinement approach for MOEA computation time reduction. 1469-1470
• 
  • 
  • 
  • 
  • 
    Eneko Osaba, Fernando Díaz, Roberto Carballedo, Idoia De-la-Iglesia, Enrique Onieva, Asier Perallos:
    A study on the efficiency of neutral crossover operators in genetic algorithms applied to the bin packing problem. 1471-1472
• 
  • 
  • 
  • 
  • 
    Eneko Osaba, Fernando Díaz, Roberto Carballedo, Enrique Onieva, Pedro López-García:
    A study on the impact of heuristic initialization functions in a genetic algorithm solving the N-queens problem. 1473-1474
• 
  • 
  • 
  • 
  • 
    Ahlem Ouaddah, Dalila Boughaci:
    Improving reconstructed images using hybridization between local search and harmony search meta-heuristics. 1475-1476
• 
  • 
  • 
  • 
  • 
    Mikiko Sato, Shigeyoshi Tsutsui, Noriyuki Fujimoto, Yuji Sato, Mitaro Namiki:
    First results of performance comparisons on many-core processors in solving QAP with ACO: kepler GPU versus xeon PHI. 1477-1478
• 
  • 
  • 
  • 
  • 
    Ming-Der Yang, Yeh-Fen Yang, Yi-Ping Chen:
    Evaluation of fitness functions of GA classification. 1479-1480
• 
  • 
  • 
  • 
  • 
    Haopeng Zhang, Fumin Zhang, Qing Hui:
    A speed-up and speed-down strategy for swarm optimization. 1481-1482
• 
  • 
  • 
  • 
  • 
    Ming-an Zhang, Yong Deng, Dong-Xia Chang:
    A novel genetic clustering algorithm with variable-length chromosome representation. 1483-1484
• 
  • 
  • 
  • 
  • 
    Ming-an Zhang, Yong Deng, Dong-Xia Chang:
    A novel quantum genetic clustering algorithm for data segmentation. 1485-1486

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