8. PPSN 2004: Birmingham, UK

Xin Yao, Edmund K. Burke, José Antonio Lozano, Jim Smith, Juan J. Merelo Guervós, John A. Bullinaria, Jonathan E. Rowe, Peter Tiño, Ata Kabán, Hans-Paul Schwefel (Eds.): Parallel Problem Solving from Nature - PPSN VIII, 8th International Conference, Birmingham, UK, September 18-22, 2004, Proceedings. Lecture Notes in Computer Science 3242 Springer 2004, ISBN 3-540-23092-0 BibTeX

Theory

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

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

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

Edwin D. de Jong:
Intransitivity in Coevolution. 843-851
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Roderich Groß, Marco Dorigo:
Group Transport of an Object to a Target That Only Some Group Members May Sense. 852-861
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Philip Hingston, Luigi Barone:
Hawks, Doves and Lifetime Reproductive Success. 862-871
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Pieter Jan't Hoen, Edwin D. de Jong:
Evolutionary Multi-agent Systems. 872-881
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Vineet R. Khare, Xin Yao, Bernhard Sendhoff:
Credit Assignment Among Neurons in Co-evolving Populations. 882-891
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Liviu Panait, R. Paul Wiegand, Sean Luke:
A Visual Demonstration of Convergence Properties of Cooperative Coevolution. 892-901
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Mark E. Roberts, Ela Claridge:
Cooperative Coevolution of Image Feature Construction and Object Detection. 902-911
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R. Paul Wiegand, Jayshree Sarma:
Spatial Embedding and Loss of Gradient in Cooperative Coevolutionary Algorithms. 912-921
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Xiufen Zou, Minzhong Liu, Lishan Kang, Jun He:
A High Performance Multi-objective Evolutionary Algorithm Based on the Principles of Thermodynamics. 922-931
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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
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Jacob Hurst, Larry Bull:
A Self-adaptive Neural Learning Classifier System with Constructivism for Mobile Robot Control. 942-951
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Yoshiaki Katada, Kazuhiro Ohkura, Kanji Ueda:
An Approach to Evolutionary Robotics Using a Genetic Algorithm with a Variable Mutation Rate Strategy. 952-961
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DaeEun Kim:
Translating the Dances of Honeybees into Resource Location. 962-971
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Yutaka Nakamura, Takeshi Mori, Shin Ishii:
Natural Policy Gradient Reinforcement Learning for a CPG Control of a Biped Robot. 972-981
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Richard Price, Peter Tiño:
Evaluation of Adaptive Nature Inspired Task Allocation Against Alternate Decentralised Multiagent Strategies. 982-990
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Jekanthan Thangavelautham, Gabriele M. T. D'Eleuterio:
A Neuroevolutionary Approach to Emergent Task Decomposition. 991-1000
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Elio Tuci, Vito Trianni, Marco Dorigo:
Evolving the "Feeling" of Time Through Sensory-Motor Coordination: A Robot Based Model. 1001-1010
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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
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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
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Larry Bull:
A Simple Payoff-Based Learning Classifier System. 1032-1041
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Larry Bull:
Lookahead and Latent Learning in a Simple Accuracy-Based Classifier System. 1042-1050
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Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, David E. Goldberg:
Knowledge Extraction and Problem Structure Identification in XCS. 1051-1060
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Cristóbal Luque del Arco-Calderón, Pedro Isasi Viñuela, Julio César Hernández Castro:
Forecasting Time Series by Means of Evolutionary Algorithms. 1061-1070
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Jeroen Eggermont, Joost N. Kok, Walter A. Kosters:
Detecting and Pruning Introns for Faster Decision Tree Evolution. 1071-1080
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Julia Handl, Joshua D. Knowles:
Evolutionary Multiobjective Clustering. 1081-1091
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Nicholas Holden, Alex Alves Freitas:
Web Page Classification with an Ant Colony Algorithm. 1092-1102
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Julian C. Holley, Anthony G. Pipe, Brian Carse:
Oneiric Processing Utilising the Anticipatory Classifier System. 1103-1112
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Hirotaka Inoue, Hiroyuki Narihisa:
Self-organizing Neural Grove: Efficient Multiple Classifier System Using Pruned Self-generating Neural Trees. 1113-1122
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Hisao Ishibuchi, Satoshi Namba:
Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems. 1123-1132
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Kees Jong, Elena Marchiori, Michèle Sebag:
Ensemble Learning with Evolutionary Computation: Application to Feature Ranking. 1133-1142
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Nicolas Labroche, Christiane Guinot, Gilles Venturini:
Fast Unsupervised Clustering with Artificial Ants. 1143-1152
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Bin Ni, Juan Liu:
A Novel Method of Searching the Microarray Data for the Best Gene Subsets by Using a Genetic Algorithm. 1153-1162
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Matthew G. Smith, Larry Bull:
Using Genetic Programming for Feature Creation with a Genetic Algorithm Feature Selector. 1163-1171
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Zhanna V. Zatuchna:
AgentP Model: Learning Classifier System with Associative Perception. 1172-1182
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