Basic Concepts of Evolutionary Computation

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  L. Darrell Whitley, V. Scott Gordon, Keith E. Mathias: Lamarckian Evolution, The Baldwin Effect and Function Optimization. 6-15
• 
  Dirk C. Mattfeld, Herbert Kopfer, Christian Bierwirth: Control of Parallel Population Dynamics by Social-Like Behavior of GA-Individuals. 16-25
• 
  Emmanuel Chiva, Philippe Tarroux: Studying Genotype-Phenotype Interactions: A Model of the Evolution of the Cell Regulation Network. 26-35
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  Yukiko Yoshida, Nobue Adachi: A Diploid Genetic Algorithm for Preserving Population Diversity - pseudo-Meiosis GA. 36-45
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  Jan Paredis: Co-evolutionary Constraint Satisfaction. 46-55

Theoretical Aspects of Evolutionary Computation

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  Hans-Georg Beyer: Towards a Theory of 'Evolution Strategies': Results for (1+, \lambda)-Strategies on (Nearly) Arbitrary Fitness Functions. 58-67
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  John Dzubera, L. Darrell Whitley: Advanced Correlation Analysis of Operators for the Traveling Salesman Problem. 68-77
• 
  A. E. Eiben, Paul-Erik Raué, Zsófia Ruttkay: Genetic algorithms with multi-parent recombination. 78-87
• 
  Hideki Asoh, Heinz Mühlenbein: On the Mean Convergence Time of Evolutionary Algorithms without Selection and Mutation. 88-97
• 
  Hideki Asoh, Heinz Mühlenbein: Estimating the Heritability by Decomposing the Genetic Variance. 98-107
• 
  Thang Nguyen Bui, Byung Ro Moon: Analyzing Hyperplane Synthesis in Genetic Algorithms Using Clustered Schemata. 108-118
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  Dirk Thierens, David E. Goldberg: Convergence Models of Genetic Algorithm Selection Schemes. 119-129
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  Ryohei Nakano, Yuval Davidor, Takeshi Yamada: Optimal Population Size under Constant Computation Cost. 130-138
• 
  Günter Rudolph: An Evolutionary Algorithm for Integer Programming. 139-148
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  Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb: Long Path Problems. 149-158
• 
  Ulrich Hammel, Thomas Bäck: Evolution Strategies on Noisy Functions: How to Improve Convergence Properties. 159-168

Modifications and Extensions to Evolutionary Algorithms

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  Károly F. Pál: Selection Schemes with Spatial Isolation for Genetic Optimization. 170-179
• 
  Anthony Yiu-Cheung Tang, Kwong-Sak Leung: A Modified Edge Recombination Operator for the Travelling Salesman Problem. 180-188
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  Andreas Ostermeier, Andreas Gawelczyk, Nikolaus Hansen: Step-Size Adaption Based on Non-Local Use of Selection Information. 189-198
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  Dirk Schlierkamp-Voosen, Heinz Mühlenbein: Strategy Adaption by Competing Subpopulations. 199-208
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  Michèle Sebag, Marc Schoenauer: Controlling Crossover through Inductive Learning. 209-218
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  David H. Lorenz: Derivative Operators for Preference Predicate Evolution. 219-228
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  Tony White, Franz Oppacher: Adaptive Crossover Using Automata. 229-238
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  Hidenori Sakanashi, Keiji Suzuki, Yukinori Kakazu: Controlling Dynamics of GA through Filtered Evaluation Function. 239-248
• 
  Mitchell A. Potter, Kenneth A. De Jong: A Cooperative Coevolutionary Approach to Function Optimization. 249-257

Classifier Systems

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  Brian Carse, Terence C. Fogarty: A Fuzzy Classifier System Using the Pittsburgh Approach. 260-269
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  Antonella Giani, Fabrizio Baiardi, Antonina Starita: Q-Learning in Evolutionary Rule Based Systems. 270-279
• 
  Uwe Hartmann: On the Complexity of Learning in Classifier Systems. 280-289

Genetic Programming

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  Mark Wineberg, Franz Oppacher: A Representation Scheme To Perform Program Induction in a Canonical Genetic Algorithm. 292-301
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  Hitoshi Iba, Hugo de Garis, Taisuke Sato: Genetic Programming with Local Hill-Climbing. 302-311
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  Chris Gathercole, Peter Ross: Dynamic Training Subset Selection for Supervised Learning in Genetic Programming. 312-321
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  Wolfgang Banzhaf: Genotype-Phenotype-Mapping and Neutral Variation - A Case Study in Genetic Programming. 322-332

Emergent Computation

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  Christian Jacob: Genetic L-System Programming. 334-343
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  Rajarshi Das, Melanie Mitchell, James P. Crutchfield: A Genetic Algorithm Discovers Particle-Based Computation in Cellular Automata. 344-353
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  Pedro Paulo Balbi de Oliveira: Simulation of Exaptive Behaviour. 354-364
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  Hiroaki Inayoshi: Artificial Spacing Patterns in a Network of Interacting Celloids. 365-374

Comparison of Different Evolutionary Algorithms

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  Jorge Muruzábal, Alberto Muñoz: Diffuse Pattern Learning with Fuzzy ARTMAP and PASS. 376-385
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  Jochen Heistermann: Different Learning Algorithms for Neural Networks - A Comparative Study. 386-396
• 
  Una-May O'Reilly, Franz Oppacher: Program Search with a Hierarchical Variable Lenght Representation: Genetic Programming, Simulated Annealing and Hill Climbing. 397-406

Hybrid Methods

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  Per S. Laursen: Problem-Independent Parallel Simulated Annealing using Selection and Migration. 408-417
• 
  Thomas Bäck: Parallel Optimization of Evolutionary Algorithms. 418-427
• 
  Hao Chen, Nicholas S. Flann: Parallel Simulated Annealing and Genetic Algorithms: a Space of Hybrid Methods. 428-438

Evolutionary Algorithms for Neural Networks

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  Heinrich Braun, Peter Zagorski: ENZO-M - A Hybrid Approach for Optimizing Neural Networks by Evolution and Learning. 440-451
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  Edmund M. A. Ronald, Marc Schoenauer: Genetic Lander: An Experiment in Accurate Neuro-Genetic Control. 452-461
• 
  Byoung-Tak Zhang: Effects of Occam's Razor in Evolving Sigma-Pi Neural Nets. 462-471
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  Joachim Born, Ivan Santibáñez-Koref, Hans-Michael Voigt: Designing Neural Networks by Adaptively Building Blocks in Cascades. 472-481
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  Anthony G. Pipe, Terence C. Fogarty, Alan F. T. Winfield: Hybrid Adaptive Heuristic Critic Architectures for Learning in Mazes with Continuous Search Spaces. 482-491
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  Uwe Utecht, Karsten Trint: Mutation Operators for Structure Evolutionof Neural Networks. 492-501

Parallel Implementations of Evolutionary Algorithms

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  Rainer Hauser, Reinhard Männer: Implementation of Standard Genetic Algorithm on MIMD Machines. 504-513
• 
  Franciszek Seredynski: Loosely Coupled Distributed Genetic Algorithms. 514-523
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  Tetsuya Higuchi, Hitoshi Iba, Bernard Manderick: Applying Evolvable Hardware to Autonomous Agents. 524-533
• 
  Francisco Javier Marín Martín, Oswaldo Trelles-Salazar, Francisco Sandoval Hernández: Genetic Algorithms on LAN-message Passing Architectures using PVM: Application to the Routing Problem. 534-543

Applications

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  Anthony M. Hill, Sung-Mo Kang: Genetic Algorithm Based Design Optimization Of CMOS VLSI Circuits. 546-555
• 
  Peter Ross, David Corne, Hsiao-Lan Fang: Improving Evolutionary Timetabling with Delta Evaluation and Directed Mutation. 556-565
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  Michiel C. van Wezel, Joost N. Kok, J. van den Berg, W. van Kampen: Genetic Improvement of Railway Timetables. 566-575
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  Helen G. Cobb, Peter Bock: Using a Genetic Algorithm to Search for the Representational Bias of a Collective Reinforcement Learner. 576-587
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  Jens Lienig, Holger Brandt: An Evolutionary Algorithm for the Routing of Multi-Chip Modules. 588-597
• 
  Samuel P. Pullen, Bradford W. Parkinson: System Design under Uncertainty: Evolutionary Optimization of the Gravity Probe-B Spacecraft. 598-607
• 
  Iwona Karcz-Duleba: Soft Selection in D-optimal Designs. 608-616
• 
  Hiroaki Inayoshi, Bernard Manderick: The Weighted Graph Bi-Partitioning Problem: A Look at GA Performance. 617-625

Software Tools for Evolutionary Computation

• 
  Patrick D. Surry, Nicholas J. Radcliffe: RPL2: A Language and Parallel Framework for Evolutionary Computing. 628-637

last updated on Sat May 25 05:28:41 2013 by the dblp team
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