The Design of Hybrid Fuzzy/Evolutionary Multiobjective Optimization Algorithms / Michael A. Lee, Henrik Esbensen and Laurent Lemaitre -- Structure Identification of Acquired Knowledge in Fuzzy Inference by Genetic Algorithms / Shohachiro Nakanishi, Akihiro Ohtake and Ronald R. Yager [and others] -- A Fuzzy Classifier System That Generates Linguistic Rules for Pattern Classification Problems / Hisao Ishibuchi, Tomoharu Nakashima and Tadahiko Murata -- Numerical Coding and Unfair Average Crossover in GA for Fuzzy Rule Extraction in Dynamic Environments / Tatsuya Nomura and Tsutomu Miyoshi -- Acquisition of Fuzzy Rules from DNA Coding Method / Tomohiro Yoshikawa, Takeshi Furuhashi and Yoshiki Uchikawa -- Experimental Study on Acquisition of Optimal Action for Autonomous Mobile Robot to Avoid Moving Multiobstacles / Takeshi Aoki, Toshiaki Oka and Soichiro Hayakawa [and others]
Summary
This book includes a selection of twelve carefully revised papers chosen from the papers accepted for presentation at the 4th IEEE/Nagoya-University World Wisepersons Workshop held in Nagoya in November 1995. The combining of the technologies of fuzzy logic, neural networks, and evolutionary computation is expected to open up a new paradigm of machine learning for the realization of human-like information generating systems. The excellent papers presented are organized in sections on fuzzy and evolutionary computation, fuzzy and learning automata, fuzzy and neural networks, genetic algorithms, and CAM-brain
Bibliography
Includes bibliographical references
Notes
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL
