Genetic Algorithms And Fuzzy Logic Systems Soft Computing Perspectives
Soft Computing Perspectives
- 252 pages
- English
- PDF
- Available on iOS & Android
Genetic Algorithms And Fuzzy Logic Systems Soft Computing Perspectives
Soft Computing Perspectives
About This Book
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.
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Table of contents
- Contents
- Foreword
- Preface
- Helicopter Flight Control with Fuzzy Logic and Genetic Algorithms
- Skill Acquisition and Skill-Based Motion Planning for Hierarchical Intelligent Control of a Redundant Manipulator
- A Creative Design of Fuzzy Logic Controller Using a Genetic Algorithm
- Automatic Fuzzy Tuning and Its Applications
- An Evolutionary Algorithm for Fuzzy Controller Synthesis and Optimization Based on SGS-Thomson's W.A.R.P. Fuzzy Processor
- On-Line Self-Structuring Fuzzy Inference Systems for Function Approximation
- Fuzzy Classification Based on Adaptive Networks and Genetic Algorithms
- Intelligent Systems for Fraud Detection
- Genetic Algorithms for Query Optimization in Information Retrieval: Relevance Feedback
- Fuzzy Fitness Assignment in an Interactive Genetic Algorithm for a Cartoon Face Search
- An Evolutionary Approach to Simulate Cognitive Feedback Learning in Medical Domain
- A Classified Review on the Combination Fuzzy Logic-Genetic Algorithms Bibliography: 1989-1995