Genetic Algorithms And Fuzzy Logic Systems Soft Computing Perspectives
Will be published approx. on 15. March 1997
Book
Hardback
252 pages
978-981-02-2423-3 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
ISBN-13
978-981-02-2423-3 (9789810224233)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Content
Helicopter flight control with fuzzy logic and genetic algorithms, C. Philips et al; 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 et al; automatic fuzzy tuning and its applications, H. Ishigami et al; an evolutionary algorithm for fuzzy controller synthesis and optimization based on SGS-Thomson's W.A.R.P. fuzzy processor, R. Poluzzi et al; on-line self-structuring fuzzy inference systems for function approximation, H. Bersini; fuzzy classification based on adaptive networks and genetic algorithms, C.-T. Sun and J.-S. Jang; intelligent systems for fraud detection, J. Kingdon; genetic algorithms for query optimization in information retrieval - relevance feedback, D.H. Kraft et al; fuzzy fitness assignment in an interactive genetic algorithm for a cartoon face search, K. Nishio et al; an evolutionary approach to simulate cognitive feedback learning in medical domain, H.S. Lopes et al; a classified review on the combination fuzzy logic-genetic algorithms bibliography - 1989-1995, O. Cordon et al.