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Performance Analysis of Adaptive Genetic Algorithms with Fuzzy Logic and Heuristics

Performance Analysis of Adaptive Genetic Algorithms with Fuzzy Logic and Heuristics In this paper, we propose some genetic algorithms with adaptive abilities and compare with them. Crossover and mutation operators of genetic algorithms are used for constructing the adaptive abilities. All together four adaptive genetic algorithms are suggested: one uses a fuzzy logic controller improved in this paper and others employ several heuristics used in conventional studies. These algorithms can regulate the rates of crossover and mutation operators during their search process. All the algorithms are tested and analyzed in numerical examples. Finally, a best genetic algorithm is recommended. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Fuzzy Optimization and Decision Making Springer Journals

Performance Analysis of Adaptive Genetic Algorithms with Fuzzy Logic and Heuristics

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References (21)

Publisher
Springer Journals
Copyright
Copyright © 2003 by Kluwer Academic Publishers
Subject
Mathematics; Mathematical Logic and Foundations; Probability Theory and Stochastic Processes; Optimization; Calculus of Variations and Optimal Control; Optimization; Artificial Intelligence (incl. Robotics); Operation Research/Decision Theory
ISSN
1568-4539
eISSN
1573-2908
DOI
10.1023/A:1023499201829
Publisher site
See Article on Publisher Site

Abstract

In this paper, we propose some genetic algorithms with adaptive abilities and compare with them. Crossover and mutation operators of genetic algorithms are used for constructing the adaptive abilities. All together four adaptive genetic algorithms are suggested: one uses a fuzzy logic controller improved in this paper and others employ several heuristics used in conventional studies. These algorithms can regulate the rates of crossover and mutation operators during their search process. All the algorithms are tested and analyzed in numerical examples. Finally, a best genetic algorithm is recommended.

Journal

Fuzzy Optimization and Decision MakingSpringer Journals

Published: Oct 6, 2004

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