Fuzzy Evolutionary Computation

Edited by Witold Pedrycz

in Springer Books from Springer

Date: 1997
ISBN: 978-1-4615-6135-4
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Chapters in this book:

Ch 1.1 Evolutionary Algorithms

Zbigniew Michalewicz, Robert Hinterding and Maciej Michalewicz

Ch 1.2 On the Combination of Fuzzy Logic and Evolutionary Computation: A Short Review and Bibliography

O. Cordon, F. Herrera and M. Lozano

Ch 1.3 Fuzzy/Multiobjective Genetic Systems for Intelligent Systems Design Tools and Components

Michael A. Lee and Henrik Esbensen

Ch 2.1 GA Algorithms in Intelligent Robots

Toshio Fukuda, Naoyuki Kubota and Takemasa Arakawa

Ch 2.2 Development of If-Then Rules with the Use of DNA Coding

Takeshi Furuhashi

Ch 2.3 Genetic-Algorithm-Based Approaches to Classification Problems

Hisao Ishibuchi, Tadahiko Murata and Tomoharu Nakashima

Ch 2.4 Multiobjective Fuzzy Satisficing Methods for 0–1 Knapsack Problems through Genetic Algorithms

Masatoshi Sakawa and Toshihiro Shibano

Ch 2.5 Multistage Evolutionary Optimization of Fuzzy Systems - Application to Optimal Fuzzy Control

Janusz Kacprzyk

Ch 2.6 Evolutionary Learning in Neural Fuzzy Control Systems

Derek A. Linkens and H. Okola Nyongesa

Ch 2.7 Stable Identification and Adaptive Control - A Dynamic Fuzzy Logic System Approach

George Vukovich and James X. Lee

Ch 2.8 Evolutionary Based Learning of Fuzzy Controllers

Luis Magdalena and Juan R. Velasco

Ch 2.9 GA-Based Generation of Fuzzy Rules

Oliver Nelles

Ch 3.1 An Indexed Bibliography of Genetic Algorithms with Fuzzy Logic

Jarmo T. Alander

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DOI: 10.1007/978-1-4615-6135-4

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