3. PPSN 1994: Jerusalem, Israel

Basic Concepts of Evolutionary Computation

• 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
  
• Yukiko Yoshida, Nobue Adachi:
  A Diploid Genetic Algorithm for Preserving Population Diversity - pseudo-Meiosis GA. 36-45
  
• Jan Paredis:
  Co-evolutionary Constraint Satisfaction. 46-55
  

Theoretical Aspects of Evolutionary Computation

• Hans-Georg Beyer:
  Towards a Theory of 'Evolution Strategies': Results for (1+, \lambda)-Strategies on (Nearly) Arbitrary Fitness Functions. 58-67
• 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
  
• Dirk Thierens, David E. Goldberg:
  Convergence Models of Genetic Algorithm Selection Schemes. 119-129
  
• 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
  
• 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

• 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
  
• Andreas Ostermeier, Andreas Gawelczyk, Nikolaus Hansen:
  Step-Size Adaption Based on Non-Local Use of Selection Information. 189-198
  
• Dirk Schlierkamp-Voosen, Heinz Mühlenbein:
  Strategy Adaption by Competing Subpopulations. 199-208
  
• Michèle Sebag, Marc Schoenauer:
  Controlling Crossover through Inductive Learning. 209-218
  
• David H. Lorenz:
  Derivative Operators for Preference Predicate Evolution. 219-228
  
• Tony White, Franz Oppacher:
  Adaptive Crossover Using Automata. 229-238
  
• 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

• Brian Carse, Terence C. Fogarty:
  A Fuzzy Classifier System Using the Pittsburgh Approach. 260-269
  
• 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

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

Emergent Computation

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

Comparison of Different Evolutionary Algorithms

• Jorge Muruzábal, Alberto Muñoz:
  Diffuse Pattern Learning with Fuzzy ARTMAP and PASS. 376-385
  
• 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

• 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

• Heinrich Braun, Peter Zagorski:
  ENZO-M - A Hybrid Approach for Optimizing Neural Networks by Evolution and Learning. 440-451
  
• 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
  
• Joachim Born, Ivan Santibáñez-Koref, Hans-Michael Voigt:
  Designing Neural Networks by Adaptively Building Blocks in Cascades. 472-481
  
• 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
  
• Uwe Utecht, Karsten Trint:
  Mutation Operators for Structure Evolutionof Neural Networks. 492-501
  

Parallel Implementations of Evolutionary Algorithms

• Rainer Hauser, Reinhard Männer:
  Implementation of Standard Genetic Algorithm on MIMD Machines. 504-513
  
• Franciszek Seredynski:
  Loosely Coupled Distributed Genetic Algorithms. 514-523
  
• 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

• 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
  
• Michiel C. van Wezel, Joost N. Kok, J. van den Berg, W. van Kampen:
  Genetic Improvement of Railway Timetables. 566-575
  
• Helen G. Cobb, Peter Bock:
  Using a Genetic Algorithm to Search for the Representational Bias of a Collective Reinforcement Learner. 576-587
  
• 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