3. ICGA 1989:
Fairfax, Virginia, USA
J. David Schaffer (Ed.):
Proceedings of the 3rd International Conference on Genetic Algorithms, George Mason University, Fairfax, Virginia, USA, June 1989.
Morgan Kaufmann 1989, ISBN 1-55860-066-3
Genetic Algorithm Theory
Applications
- Kenneth A. De Jong, William M. Spears:
Using Genetic Algorithms to Solve NP-Complete Problems.
124-132

- L. Darrell Whitley, Timothy Starkweather, D'Ann Fuquay:
Scheduling Problems and Traveling Salesmen: The Genetic Edge Recombination Operator.
133-140

- Wojciech W. Siedlecki, Jack Sklansky:
Constrained Genetic Optimization via Dynarnic Reward-Penalty Balancing and Its Use in Pattern Recognition.
141-150

- David J. Powell, Siu Shing Tong, Michael M. Skolnick:
EnGENEous Domain IndependentMachine Learning for Design Optimization.
151-159

- Gary A. Cleveland, Stephen F. Smith:
Using Genetic Algorithms to Schedule Flow Shop Releases.
160-169

- Carlos B. Lucasius, Gerrit Kateman:
Application of Genetic Algorithms in Chemometrics.
170-176

- Michael O. Odetayo, Douglas R. McGregor:
Genetic Algorithm for Inducing Control Rules for a Dynamic System.
177-182

- John J. Grefenstette:
A System for Learning Control Strategies with Genetic Algorithms.
183-190

- Jon T. Richardson, Mark R. Palmer, Gunar E. Liepins, Mike R. Hilliard:
Some Guidelines for Genetic Algorithms with Penalty Functions.
191-197

- Robert E. Marks:
Breeding Hybrid Strategies: Optimal Behavior for Oligopolists.
198-207

- Michael de la Mazza:
A SEAGUL Visits the Race Track.
208-212

- Mark F. Bramlette, Rod Cusic:
A Comparative Evaluation of Search Methods Applied to Parametric Design of Aircraft.
213-218

- Chee-Hung Henry Chu:
A Genetic Algorithm Approach to the Configuration of Stack Filters.
219-224

- Martijn A. Huynen, Paulien Hogeweg:
Genetic Algorithms and Information Accumulation during the Evolution of Gene Regulation.
225-230

- Jürgen Hesser, Reinhard Männer, Oliver Stucky:
Optimization of Steiner Trees Using Genetic Algorithms.
231-236

- Kenneth J. Hintz:
Procedure Learning Using a Variable-Dimension Solution Space.
237-243

Classifier Systems
- Stewart W. Wilson, David E. Goldberg:
A Critical Review of Classifier Systems.
244-255

- Rick L. Riolo:
The Emergence of Coupled Sequences of Classifiers.
256-264

- Lashon B. Booker:
Triggered Rule Discovery in Classifier Systems.
265-274

- Richard K. Belew, Michael Gherrity:
Back Propagation for the Classifier System.
275-281

- Tom H. Westerdale:
A Defense of the Bucket Brigade.
282-290

- Hayong Harry Zhou, John J. Grefenstette:
Learning by Analogy in Genetic Classifier Systems.
291-297

- Mario Compiani, Daniele Montanari, R. Serra, P. Simonini:
Asymptotic Dynamics of Classifier Systems.
298-303

- John H. Miller, Stephanie Forrest:
The Dynamical Behavior of Classifier Systems.
304-310

- Dijia Huang:
The Context-Array Bucket-Brigade Algorithm: An Enhanced Approach to Credit-Apportionment in Classifier Systems.
311-316

- Gary Roberts:
A Rational Reconstruction of Wilson's Animat and Holland's CS-1.
317-321

- Rick L. Riolo:
The Emergence of Default Hierarchies in Learning Classifier Systems.
322-327

- Dale Schuurmans, Jonathan Schaeffer:
Representational Difficulties with Classifier Systems.
328-333

- Lingyan Shu, Jonathan Schaeffer:
VCS: Variable Classifier Systems.
334-339

- Robert E. Smith, Manuel Valenzuela-Rendón:
A Study of Rule Set Development in a Learning Classifier System.
340-346

- Stephen J. Smith, Stewart W. Wilson:
Rosetta: Toward a Model of Learning Problems.
347-350

- Manuel Valenzuela-Rendón:
Boolean Analysis of Classifier Sets.
351-359

Neural Networks
Parallel Genetic Algorithms
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