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    Edited Books

Genetic Algorithms and Soft Computing

Studies in Fuzziness and Soft Computing, Vol. 8
Physica-Verlag, September 1996
ISBN 3-7908-0956-X

F. Herrera, J.L. Verdegay (Eds.)

Table of Contents

Foreword

Preface

1. FOUNDATIONS

Genetic Algorithms for Function Optimization.
K. Deb.
p. 3-29.

Fuzzy logic and Fuzzy Logic Controllers: An Introduction.
P.P. Bonissone.
p. 30-48.

2. FUZZY LOGIC BASED TECHNIQUES IN GENETIC ALGORITHMS

Genetic Optimization with Fuzzy Coding.
W. Pedrycz, M. Reformat.
p. 51-67.

Toward a Theory of Genetic Systems.
A.B.S. Serapiao, A.F. Rocha, M.P. Rebello, W. Pedrycz.
p. 68-94.

Adaptation of Genetic Algorithm Parameters based on Fuzzy Logic Controllers.
F. Herrera, M. Lozano.
p. 95-125.

3. LEARNING IN FUZZY CONTROLLERS

Approach to Model-Based Fuzzy Control System Design and Structural Optimisation.
Y. Li, K.C. Ng.
p. 129-151.

EFM-based Controllers for Space Station Attitude Control: Application and Analysis.
A. Satyadas, K. Krishnakumar.
p. 152-171.

Fuzzy Rule-Based Controllers that Learn by Evolving their Knowledge Base.
L. Magdalena, J.R. Velasco.
p. 172-201.

A Learning System of Fuzzy Control Rules Based on Genetic Algorithms.
A. Gonzalez, R. Perez.
p. 202-225.

Hybrid Genetic-Fuzzy Systems for Intelligent Systems Design.
M. Lee, H. Takagi.
p. 226-250.

A Hybrid Genetic Algorithm-Evolution Strategy Process for Learning Fuzzy Logic Controller Knowledge Bases
O. Cordon, F. Herrera.
p. 251-278.

Learning of a Fuzzy Control Rule Base Using Messy Genetic Algorithms.
F. Hoffmann, G. Pfister.
p. 279-305.

Genetic Algorithms for the Evolution of Behaviours in Robotics.
D. Leitch.
p. 306-328.

4. OPTIMIZATION OF FUZZY CONTROLLERS

Designing Precise Fuzzy Systems with Genetic Algorithms.
C.L. Karr.
p. 331-348.

Constrained Optimization of FIS using an Evolutionary Method.
P.Y. Glorennec.
p. 349-368.

Virus-Evolutionary Genetic Algorithm for Fuzzy Controller Optimization.
K. Shimojima, N. Kubota, T. Fukuda.
p. 369-388.

Genetic Optimization of Fuzzy Rule-Based Systems.
H. Surmann.
p. 389-402.

A Genetic Algorithm to Support Learning Fuzzy Control Rules from Examples.
B. Filipic, D. Juricic.
p. 403-418.

Sequential Optimization of Multidimensional Controllers using Genetic Algorithms and Fuzzy Situations.
M. Schroder, F. Klawonn, R. Kruse.
p. 419-444.

5. FUZZY CLASSIFIER SYSTEMS

Delayed Reinforcement, Fuzzy Q-Learning and Fuzzy Logic Controllers.
A. Bonarini.
p. 447-466.

Evolving Temporal Fuzzy Rule-Bases for Distributed Routing Control in Telecommunication Networks.
B. Carse, T.C. Fogarty, A. Munro.
p. 467-488.

A Study on Fuzzy Classifier Systems for Finding Control Knowledge of Multi-Input Systems.
T. Furuhashi, K. Nakaoka, Y. Uchikawa.
p. 489-502.

6. FUZZY NEURAL NETS

Backpropagation and Genetic Algorithms for Training Fuzzy Neural Nets.
J. J. Buckley, K.D. Reilly, K.V. Penmetcha.
p. 505-532.

Evolving Neurofuzzy Networks for Basic Behaviors and a Recategorization Approach for Their Coordination
M. Figueiredo, F. Gomide.
p. 533-552.

7. GENETIC ALGORITHMS IN FUZZY CONTEXTS

A Genetic-Algorithm-Based Fuzzy Partition Method for Pattern Classification Problems.
H. Ishibuchi, T. Murata.
p. 555-578.

Genetic Algorithms in Multistage Fuzzy Control.
J. Kacprzyk.
p. 579-598.

Data Summarization Using Genetic Algorithms and Fuzzy Logic.
R. George, R. Srikanth.
p. 599-612.

8. APPLICATIONS

The Application of Fuzzy Logic Techniques and Genetic Algorithms to Connection Admission Control in ATM Networks.
M.F. Ramalho, E.M. Scharf.
p. 615-640.

Fuzzy Optimization of Distribution Networks by using Genetic Algorithms.
L. Castillo, A. Gonzalez.
p. 641-657.

The MIT Beer Distribution Game Revisited: Genetic Machine Learning and Managerial Behavior in a Dynamic Decision Making Experiment.
A. Geyer-Schulz.
p. 658-682.

Fuzzy Vehicle Routing and Scheduling Problem Using Genetic Algorithms.
R. Cheng, M. Gen.
p. 683-709.

 

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