Beschreibung
InhaltsangabeEditor's Preface. Part 1: Fundamentals. 1.1. Evolutionary Algorithms; Z. Michalewicz, et al. 1.2. On the Combination of Fuzzy Logic And Evolutionary Computation: A Short Review and Bibliography; O. Cordon, et al. 1.3. Fuzzy/Multiobjective Genetic Systems for Intelligent Systems Design Tools and Components; M.A. Lee, H. Esbensen. Part 2: Methodology and Algorithms. 2.1. GA Algorithms in Intelligent Robots; T. Fukuda, et al. 2.2. Development of If-Then Rules with the Use of DNA Coding; T. Furuhashi. 2.3. Genetic-Algorithm-Based Approaches to Classification Problems; H. Ishibuchi, et al. 2.4. Multiobjective Fuzzy Satisficing Methods for 0-1 Knapsack Problems Through Genetic Algorithms; M. Sakawa, T. Shibano. 2.5. Multistage Evolutionary Optimization of Fuzzy Systems - Application to Optimal Fuzzy Control; J. Kacprzyk. 2.6. Evolutionary Learning in Neural Fuzzy Control Systems; D.A. Linkens, H.O. Nyongesa. 2.7. Stable Identification and Adaptive Control - A Dynamic Fuzzy Logic System Approach; G. Vukovich, J.X. Lee. 2.8. Evolutionary Based Learning of Fuzzy Controllers; L. Magdalena, J.R. Velasco. 2.9. GA-Based Generation of Fuzzy Rules; O. Nelles. Part 3: Bibliography. 3.1. An Indexed Bibliography of Genetic Algorithms with Fuzzy Logic; J.T. Alander. Subject Index.
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