Theory

• 
  Hans-Georg Beyer, Silja Meyer-Nieberg: On the Quality Gain of (1, lambda)-ES Under Fitness Noise. 1-10
• 
  Yossi Borenstein, Riccardo Poli: Fitness Distributions and GA Hardness. 11-20
• 
  Patrick Briest, Dimo Brockhoff, Bastian Degener, Matthias Englert, Christian Gunia, Oliver Heering, Thomas Jansen, Michael Leifhelm, Kai Plociennik, Heiko Röglin, Andrea Schweer, Dirk Sudholt, Stefan Tannenbaum, Ingo Wegener: Experimental Supplements to the Theoretical Analysis of EAs on Problems from Combinatorial Optimization. 21-30
• 
  Patrick Briest, Dimo Brockhoff, Bastian Degener, Matthias Englert, Christian Gunia, Oliver Heering, Thomas Jansen, Michael Leifhelm, Kai Plociennik, Heiko Röglin, Andrea Schweer, Dirk Sudholt, Stefan Tannenbaum, Ingo Wegener: The Ising Model: Simple Evolutionary Algorithms as Adaptation Schemes. 31-40
• 
  A. E. Eiben, Elena Marchiori, V. A. Valkó: Evolutionary Algorithms with On-the-Fly Population Size Adjustment. 41-50
• 
  Holger H. Hoos, Kevin Smyth, Thomas Stützle: Search Space Features Underlying the Performance of Stochastic Local Search Algorithms for MAX-SAT. 51-60
• 
  Thomas Jansen, R. Paul Wiegand: Bridging the Gap Between Theory and Practice. 61-71
• 
  Cheah C. J. Moey, Jonathan E. Rowe: A Reduced Markov Model of GAs Without the Exact Transition Matrix. 72-80
• 
  Frank Neumann: Expected Runtimes of a Simple Evolutionary Algorithm for the Multi-objective Minimum Spanning Tree Problem. 81-90
• 
  Mike Preuss, Christian Lasarczyk: On the Importance of Information Speed in Structured Populations. 91-100
• 
  Colin R. Reeves, Mériéma Aupetit-Bélaidouni: Estimating the Number of Solutions for SAT Problems. 101-110
• 
  Hendrik Richter: Behavior of Evolutionary Algorithms in Chaotically Changing Fitness Landscapes. 111-120
• 
  Cameron Skinner, Patricia J. Riddle: Expected Rates of Building Block Discovery, Retention and Combination Under 1-Point and Uniform Crossover. 121-130
• 
  Chuan-Kang Ting: An Analysis of the Effectiveness of Multi-parent Crossover. 131-140
• 
  Steven van Dijk, Dirk Thierens: On the Use of a Non-redundant Encoding for Learning Bayesian Networks from Data with a GA. 141-150
• 
  Jano I. van Hemert, Neil Urquhart: Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation. 151-160
• 
  Richard A. Watson: A Simple Two-Module Problem to Exemplify Building-Block Assembly Under Crossover. 161-171
• 
  Bo Yuan, Marcus Gallagher: Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms. 172-181

New Algorithms

• 
  Anne Auger, Marc Schoenauer, Nicolas Vanhaecke: LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation. 182-191
• 
  Peter A. N. Bosman, Edwin D. de Jong: Learning Probabilistic Tree Grammars for Genetic Programming. 192-201
• 
  Jürgen Branke, Christian Schmidt: Sequential Sampling in Noisy Environments. 202-211
• 
  Dong-Yeon Cho, Byoung-Tak Zhang: Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model. 212-221
• 
  Dominique Chu, Jonathan E. Rowe: Spread of Vector Borne Diseases in a Population with Spatial Structure. 222-231
• 
  Edwin D. de Jong, Dirk Thierens, Richard A. Watson: Hierarchical Genetic Algorithms. 232-241
• 
  Luis de la Ossa, José A. Gámez, Jose Miguel Puerta: Migration of Probability Models Instead of Individuals: An Alternative When Applying the Island Model to EDAs. 242-252
• 
  Razvan Enache, Bernhard Sendhoff, Markus Olhofer, Martina Hasenjäger: Comparison of Steady-State and Generational Evolution Strategies for Parallel Architectures. 253-262
• 
  Francisco Fernández de Vega, Germán Galeano Gil, Juan Antonio Gómez Pulido, Jose Luis Guisado: Control of Bloat in Genetic Programming by Means of the Island Model. 263-271
• 
  Francisco Fernández de Vega, Erick Cantú-Paz, J. I. López, T. Manzano: Saving Resources with Plagues in Genetic Algorithms. 272-281
• 
  Nikolaus Hansen, Stefan Kern: Evaluating the CMA Evolution Strategy on Multimodal Test Functions. 282-291
• 
  Steven Orla Kimbrough, Ming Lu, David Harlan Wood: Exploring the Evolutionary Details of a Feasible-Infeasible Two-Population GA. 292-301
• 
  Gabriele Koller, Günther R. Raidl: An Evolutionary Algorithm for the Maximum Weight Trace Formulation of the Multiple Sequence Alignment Problem. 302-311
• 
  Jian-Qin Liu, Katsunori Shimohara: A Novel Programmable Molecular Computing Method Based on Signaling Pathways Regulated by Rho-GTPases in Living MDCK Epithelial Mammalian Cells. 312-321
• 
  Masaharu Munetomo, Naoya Murao, Kiyoshi Akama: Empirical Investigations on Parallelized Linkage Identification. 322-331
• 
  Yuichi Nagata: The EAX Algorithm Considering Diversity Loss. 332-341
• 
  Masanori Natsui, Naofumi Homma, Takafumi Aoki, Tatsuo Higuchi: Topology-Oriented Design of Analog Circuits Based on Evolutionary Graph Generation. 342-351
• 
  Jiri Ocenasek, Stefan Kern, Nikolaus Hansen, Petros Koumoutsakos: A Mixed Bayesian Optimization Algorithm with Variance Adaptation. 352-361
• 
  Danilo Pani, Luigi Raffo: A Swarm Intelligence Based VLSI Multiplication-and-Add Scheme. 362-371
• 
  Petr Posik: Distribution Tree-Building Real-Valued Evolutionary Algorithm. 372-381
• 
  João Carlos Figueira Pujol, Riccardo Poli: Optimization via Parameter Mapping with Genetic Programming. 382-390
• 
  Daniel Roggen, Diego Federici: Multi-cellular Development: Is There Scalability and Robustness to Gain? 391-400
• 
  Thomas Philip Runarsson: Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models. 401-410
• 
  Ivan Sekaj: Robust Parallel Genetic Algorithms with Re-initialisation. 411-419
• 
  Zbigniew Skolicki, Kenneth A. De Jong: Improving Evolutionary Algorithms with Multi-representation Island Models. 420-429
• 
  Sang-Moon Soak, David Corne, Byung-Ha Ahn: A Powerful New Encoding for Tree-Based Combinatorial Optimisation Problems. 430-439
• 
  Si-Ho Yoo, Sung-Bae Cho: Partially Evaluated Genetic Algorithm Based on Fuzzy c-Means Algorithm. 440-449
• 
  Leonora Bianchi, Mauro Birattari, Marco Chiarandini, Max Manfrin, Monaldo Mastrolilli, Luis Paquete, Olivia Rossi-Doria, Tommaso Schiavinotto: Applications Metaheuristics for the Vehicle Routing Problem with Stochastic Demands. 450-460
• 
  Gianni Di Caro, Frederick Ducatelle, Luca Maria Gambardella: AntHocNet: An Ant-Based Hybrid Routing Algorithm for Mobile Ad Hoc Networks. 461-470
• 
  Oscar Cordón, Sergio Damas, Jose Santamaría: A Scatter Search Algorithm for the 3D Image Registration Problem. 471-480
• 
  Carlos Cotta, Antonio J. Fernández: A Hybrid GRASP - Evolutionary Algorithm Approach to Golomb Ruler Search. 481-490
• 
  Niloy Ganguly, Geoffrey Canright, Andreas Deutsch: Design of an Efficient Search Algorithm for P2P Networks Using Concepts from Natural Immune Systems. 491-500
• 
  Yehudit Hasson, Moshe Sipper: A Novel Ant Algorithm for Solving the Minimum Broadcast Time Problem. 501-510
• 
  Yu-Cheng Huang, Han-Yu Chuang, Huai-Kuang Tsai, Chun-Fan Chang, Cheng-Yan Kao: Designing Multiple-Use Primer Set for Multiplex PCR by Using Compact GAs. 511-521
• 
  Elsa Jordaan, Arthur K. Kordon, Leo H. Chiang, Guido Smits: Robust Inferential Sensors Based on Ensemble of Predictors Generated by Genetic Programming. 522-531
• 
  Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang: Searching Transcriptional Modules Using Evolutionary Algorithms. 532-540
• 
  Carlos Kavka, Marc Schoenauer: Evolution of Voronoi-Based Fuzzy Controllers. 541-550
• 
  DaeEun Kim: Analyzing Sensor States and Internal States in the Tartarus Problem with Tree State Machines. 551-560
• 
  Arne Koopman, Daniel Roggen: Evolving Genetic Regulatory Networks for Hardware Fault Tolerance. 561-570
• 
  P. Dwight Kuo, André Leier, Wolfgang Banzhaf: Evolving Dynamics in an Artificial Regulatory Network Model. 571-580
• 
  Jingpeng Li, Uwe Aickelin: The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling. 581-590
• 
  Jin Li, Xin Yao, Colin Frayn, Habib G. Khosroshahi, Somak Raychaudhury: An Evolutionary Approach to Modeling Radial Brightness Distributions in Elliptical Galaxies. 591-601
• 
  Juan J. Merelo Guervós, Pedro A. Castillo Valdivieso: Conference Paper Assignment Using a Combined Greedy/Evolutionary Algorithm. 602-611
• 
  Jorge Muruzábal, Carlos Cotta: A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures. 612-621
• 
  Gustavo Olague, Francisco Fernández de Vega, Cynthia B. Pérez, Evelyne Lutton: The Infection Algorithm: An Artificial Epidemic Approach for Dense Stereo Matching. 622-632
• 
  Andrei Petrovski, Bhavani Sudha, John A. W. McCall: Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms. 633-641
• 
  Jakob Puchinger, Günther R. Raidl: An Evolutionary Algorithm for Column Generation in Integer Programming: An Effective Approach for 2D Bin Packing. 642-651
• 
  Eduardo Rodriguez-Tello, Jin-Kao Hao, Jose Torres-Jimenez: An Improved Evaluation Function for the Bandwidth Minimization Problem. 652-661
• 
  Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner: Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model. 662-671
• 
  Marco Tomassini, Mario Giacobini, Christian Darabos: Evolution of Small-World Networks of Automata for Computation. 672-681
• 
  Jim Torresen, Jorgen W. Bakke, Lukás Sekanina: Recognizing Speed Limit Sign Numbers by Evolvable Hardware. 682-691
• 
  Jano I. van Hemert, Johannes A. La Poutré: Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation. 692-701
• 
  Krzysztof Wloch, Peter J. Bentley: Optimising the Performance of a Formula One Car Using a Genetic Algorithm. 702-711

Multi-objective Optimisation

• 
  Hussein A. Abbass: An Inexpensive Cognitive Approach for Bi-objective Optimization Using Bliss Points and Interaction. 712-721
• 
  Jürgen Branke, Kalyanmoy Deb, Henning Dierolf, Matthias Osswald: Finding Knees in Multi-objective Optimization. 722-731
• 
  Daniel Jaeggi, Chris Asselin-Miller, Geoffrey T. Parks, Timoleon Kipouros, Theo Bell, P. John Clarkson: Multi-objective Parallel Tabu Search. 732-741
• 
  Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, Shinya Watanabe: SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2. 742-751
• 
  Saku Kukkonen, Jouni Lampinen: An Extension of Generalized Differential Evolution for Multi-objective Optimization with Constraints. 752-761
• 
  Mahdi Mahfouf, Min-You Chen, Derek A. Linkens: Adaptive Weighted Particle Swarm Optimisation for Multi-objective Optimal Design of Alloy Steels. 762-771
• 
  Kuntinee Maneeratana, Kittipong Boonlong, Nachol Chaiyaratana: Multi-objective Optimisation by Co-operative Co-evolution. 772-781
• 
  Victor Oduguwa, Ashutosh Tiwari, Rajkumar Roy: Sequential Process Optimisation Using Genetic Algorithms. 782-791
• 
  Tatsuya Okabe, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff: On Test Functions for Evolutionary Multi-objective Optimization. 792-802
• 
  Frédéric Ratle, Benoît Lecarpentier, Richard Labib, François Trochu: Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm. 803-811
• 
  Olga Rudenko, Marc Schoenauer: Dominance Based Crossover Operator for Evolutionary Multi-objective Algorithms. 812-821
• 
  Tapio Tyni, Jari Ylinen: Evolutionary Bi-objective Controlled Elevator Group Regulates Passenger Service Level and Minimises Energy Consumption. 822-831
• 
  Eckart Zitzler, Simon Künzli: Indicator-Based Selection in Multiobjective Search. 832-842

Co-evolution

• 
  Edwin D. de Jong: Intransitivity in Coevolution. 843-851
• 
  Roderich Groß, Marco Dorigo: Group Transport of an Object to a Target That Only Some Group Members May Sense. 852-861
• 
  Philip Hingston, Luigi Barone: Hawks, Doves and Lifetime Reproductive Success. 862-871
• 
  Pieter Jan't Hoen, Edwin D. de Jong: Evolutionary Multi-agent Systems. 872-881
• 
  Vineet R. Khare, Xin Yao, Bernhard Sendhoff: Credit Assignment Among Neurons in Co-evolving Populations. 882-891
• 
  Liviu Panait, R. Paul Wiegand, Sean Luke: A Visual Demonstration of Convergence Properties of Cooperative Coevolution. 892-901
• 
  Mark E. Roberts, Ela Claridge: Cooperative Coevolution of Image Feature Construction and Object Detection. 902-911
• 
  R. Paul Wiegand, Jayshree Sarma: Spatial Embedding and Loss of Gradient in Cooperative Coevolutionary Algorithms. 912-921
• 
  Xiufen Zou, Minzhong Liu, Lishan Kang, Jun He: A High Performance Multi-objective Evolutionary Algorithm Based on the Principles of Thermodynamics. 922-931
• 
  Nicolas Godzik, Marc Schoenauer, Michèle Sebag: Robotics and Multi-agent Systems Robustness in the Long Run: Auto-teaching vs Anticipation in Evolutionary Robotics. 932-941
• 
  Jacob Hurst, Larry Bull: A Self-adaptive Neural Learning Classifier System with Constructivism for Mobile Robot Control. 942-951
• 
  Yoshiaki Katada, Kazuhiro Ohkura, Kanji Ueda: An Approach to Evolutionary Robotics Using a Genetic Algorithm with a Variable Mutation Rate Strategy. 952-961
• 
  DaeEun Kim: Translating the Dances of Honeybees into Resource Location. 962-971
• 
  Yutaka Nakamura, Takeshi Mori, Shin Ishii: Natural Policy Gradient Reinforcement Learning for a CPG Control of a Biped Robot. 972-981
• 
  Richard Price, Peter Tiño: Evaluation of Adaptive Nature Inspired Task Allocation Against Alternate Decentralised Multiagent Strategies. 982-990
• 
  Jekanthan Thangavelautham, Gabriele M. T. D'Eleuterio: A Neuroevolutionary Approach to Emergent Task Decomposition. 991-1000
• 
  Elio Tuci, Vito Trianni, Marco Dorigo: Evolving the "Feeling" of Time Through Sensory-Motor Coordination: A Robot Based Model. 1001-1010

Learning Classifier Systems and Data Mining

• 
  Roberto Teixeira Alves, Myriam Regattieri Delgado, Heitor S. Lopes, Alex Alves Freitas: An Artificial Immune System for Fuzzy-Rule Induction in Data Mining. 1011-1020
• 
  Jaume Bacardit, David E. Goldberg, Martin V. Butz, Xavier Llorà, Josep Maria Garrell i Guiu: Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy. 1021-1031
• 
  Larry Bull: A Simple Payoff-Based Learning Classifier System. 1032-1041
• 
  Larry Bull: Lookahead and Latent Learning in a Simple Accuracy-Based Classifier System. 1042-1050
• 
  Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, David E. Goldberg: Knowledge Extraction and Problem Structure Identification in XCS. 1051-1060
• 
  Cristóbal Luque del Arco-Calderón, Pedro Isasi Viñuela, Julio César Hernández Castro: Forecasting Time Series by Means of Evolutionary Algorithms. 1061-1070
• 
  Jeroen Eggermont, Joost N. Kok, Walter A. Kosters: Detecting and Pruning Introns for Faster Decision Tree Evolution. 1071-1080
• 
  Julia Handl, Joshua D. Knowles: Evolutionary Multiobjective Clustering. 1081-1091
• 
  Nicholas Holden, Alex Alves Freitas: Web Page Classification with an Ant Colony Algorithm. 1092-1102
• 
  Julian C. Holley, Anthony G. Pipe, Brian Carse: Oneiric Processing Utilising the Anticipatory Classifier System. 1103-1112
• 
  Hirotaka Inoue, Hiroyuki Narihisa: Self-organizing Neural Grove: Efficient Multiple Classifier System Using Pruned Self-generating Neural Trees. 1113-1122
• 
  Hisao Ishibuchi, Satoshi Namba: Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems. 1123-1132
• 
  Kees Jong, Elena Marchiori, Michèle Sebag: Ensemble Learning with Evolutionary Computation: Application to Feature Ranking. 1133-1142
• 
  Nicolas Labroche, Christiane Guinot, Gilles Venturini: Fast Unsupervised Clustering with Artificial Ants. 1143-1152
• 
  Bin Ni, Juan Liu: A Novel Method of Searching the Microarray Data for the Best Gene Subsets by Using a Genetic Algorithm. 1153-1162
• 
  Matthew G. Smith, Larry Bull: Using Genetic Programming for Feature Creation with a Genetic Algorithm Feature Selector. 1163-1171
• 
  Zhanna V. Zatuchna: AgentP Model: Learning Classifier System with Associative Perception. 1172-1182

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