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E-raamat: Genetic Algorithms and Fuzzy Logic Systems [World Scientific e-raamat]

Edited by (Aix-marseille Univ, Usa), Edited by (Massachusetts Inst Of Tech, Usa), Edited by (Univ Of California, Berkeley, Usa)
  • World Scientific e-raamat
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Ever since fuzzy logic was introduced by Lotfi Zadeh in the mid-sixties and genetic algorithms by John Holland in the early seventies, these two fields widely been subjects of academic research the world over. During the last few years, they have been experiencing extremely rapid growth in the industrial world, where they have been shown to be very effective in solving real-world problems. These two substantial fields, together with neurocomputing techniques, are recognized as major parts of soft computing: a set of computing technologies already riding the waves of the next century to produce the human-centered intelligent systems of tomorrow; the collection of papers presented in this book shows the way. The book also contains an extensive bibliography on fuzzy logic and genetic algorithms.
Foreword v(2) L. Davis Preface vii E. Sanchez T. Shibata L. A. Zadeh Helicopter Flight Control with Fuzzy Logic and Genetic Algorithms 1(18) C. Phillips C. L. Karr G. W. Walker Skill Acquisition and Skill-Based Motion Planning for Hierarchical Intelligent Control of a Redundant Manipulator 19(18) T. Shibata A Creative Design of Fuzzy Logic Controller Using a Genetic Algorithm 37(12) T. Hashiyama T. Furuhashi Y. Uchikawa Automatic Fuzzy Tuning and Its Applications 49(22) H. Ishigami T. Fukuda T. Shibata An Evolutionary Algorithm for Fuzzy Controller Synthesis and Optimization Based on SGS-Thomsons W.A.R.P. Fuzzy Processor 71(20) R. Poluzzi G. G. Rizzotto A. G. B. Tettamanzi On-Line Self-Structuring Fuzzy Inference Systems for Function Approximation 91(22) H. Bersini Fuzzy Classification Based on Adaptive Networks and Genetic Algorithms 113(20) C.-T.Sun J.-S. Jang Intelligent Systems for Fraud Detection 133(22) J. Kingdon Genetic Algorithms for Query Optimization in Information Retrieval: Relevance Feedback 155(20) D. H. Kraft F. E. Petry B. P. Buckles T. Sadasivan Fuzzy Fitness Assignment in an Interactive Genetic Algorithm for a Cartoon Face Search 175(18) K. Nishio M. Murakami E. Mizutani N. Honda An Evolutionary Approach to Simulate Cognitive Feedback Learning in Medical Domain 193(16) H. S. Lopes M. S. Coutinho W. C. de Lima A Classified Review on the Combination Fuzzy Logic-Genetic Algorithms Bibliography: 1989-1995 209 O. Cordon F. Herrera M. Lozano