Industrial applications of fuzzy systems
SAC '00 Proceedings of the 2000 ACM symposium on Applied computing - Volume 1
Worst-case tolerance design and quality assurance via genetic algorithms
Journal of Optimization Theory and Applications
Evolving Cellular Automata for Location Management in Mobile Computing Networks
IEEE Transactions on Parallel and Distributed Systems
A Comparison of Three Artificial Life Techniques for Reporting Cell Planning in Mobile Computing
IEEE Transactions on Parallel and Distributed Systems
Artificial life techniques for load balancing in computational grids
Journal of Computer and System Sciences
Optimization of oval-round pass design using genetic algorithm
Robotics and Computer-Integrated Manufacturing
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From the Publisher:Genetic algorithms (GAs) are computer-based search techniques patterned after the genetic mechanisms of biological organisms that have adapted and flourished in changing, highly competitive environments for millions of years. GAs have been successfully applied to problems in a variety of studies, and their popularity continues to increase because of their effectiveness, applicability, and ease of use. Industrial Applications of Genetic Algorithms shows how GAs have made the leap from their origins in the laboratory to the practicing engineer's toolbox. Each chapter in the book describes a project completed by a graduate student at the University of Alabama.