Advances in Fuzzy Systems — Applications and Theory - Vol. 7
GENETIC ALGORITHMS AND FUZZY LOGIC SYSTEMS
Soft Computing Perspectives
edited by Elie Sanchez (Université de la Méditerrannée, Aix-Marseille II, France), Takanori Shibata (MIT, USA & Mechanical Engineering Laboratory, MITI, Japan) & Lotfi A Zadeh (BISC, University of California, Berkeley, USA)
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.
Contents:
- Foreword (L Davies)
- Preface (E Sanchez, T Shibata & L A
Zadeh)
- Helicopter Flight Control with Fuzzy Logic and Genetic Algorithms (C Philips, C L Karr & G W Walker)
- Skill Acquisition and Skill-Based Motion Planning for Hierarchical Intelligent Control of a Redundant Manipulator (T Shibata)
- A Creative Design of Fuzzy Logic Controller Using a Genetic Algorithm (T Hashiyama, T Furuhashi & Y Uchikawa)
- Automatic Fuzzy Tuning and Its Applications (H Ishigami, T Fukuda, T Shibata)
- An Evolutionary Algorithm for Fuzzy Controller Synthesis and Optimization Based on SGS-Thomson's W.A.R.P. Fuzzy Processor (R Poluzzi, G G Rizzotto & A G B Tettamanzi)
- On-Line Self-Structuring Fuzzy Inference Systems for Function Approximation (H Bersini)
- Fuzzy Classification Based on Adaptive Networks and Genetic Algorithms (C-T Sun & J-S Jang)
- Intelligent Systems for Fraud Detection (J Kingdon)
- Genetic Algorithms for Query Optimization in Information Retrieval: Relevance Feedback (D H Kraft, F E Petry, B P Buckles & T Sadasivan)
- Fuzzy Fitness Assignment in an Interactive Genetic Algorithm for a Cartoon Face Search (K Nishio, M Murakami, E Mizutani & N Honda)
- An Evolutionary Approach to Simulate Cognitive Feedback Learning in Medical Domain (H S Lopes, M S Coutinho & W C de Lima)
- A Classified Review on the Combination Fuzzy Logic–Genetic Algorithms Bibliography: 1989–1995 (O Cordón, F Herrera & M Lozano)
Readership: Mechanical, systems & knowledge, and control engineers;
computer scientists in databases; and researchers in genetic algorithms, fuzzy logic systems, soft computing, artificial intelligence, neural networks, fuzzy logic control, robotics, classification, banking, information retrieval, and medicine.
"This volume displays the power of evolutionary algorithms when combined with fuzzy logic. These are exciting times in the fields of fuzzy logic and evolutionary algorithms, and this book will add to the excitement, because it is the first volume to focus on the growing connections between the fields of evolutionary algorithms and fuzzy logic ... This book will be a valuable aid to anyone considering the application of fuzzy logic and evolutionary algorithms to real problems, because it contains a number of detailed accounts of such applications written by authors in several countries. By making these accounts available in one place, the editors of this book have made it much easier for us to benefit from the authors' experience, and have done us a great service."
From the foreword by Lawrence Davies
President of Tica Associates and editor of Handbook of Genetic Algorithms |
| 252pp |
Pub. date: Mar 1997 |
|
