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ORCID3rd PPSN 1994: Jerusalem, Israel
- Yuval Davidor, Hans-Paul Schwefel, Reinhard Männer:
Parallel Problem Solving from Nature - PPSN III, International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature, Jerusalem, Israel, October 9-14, 1994, Proceedings. Lecture Notes in Computer Science 866, Springer 1994, ISBN 3-540-58484-6
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, +λ)-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
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