Advances in Computational Intelligence

Theory and Practice

H.-P. Schwefel, I. Wegener, K. Weinert

332 pages, parution le 06/12/2002

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Résumé

The 30 coherently written chapters by leading researchers presented in this anthology are devoted to basic results achieved in computational intelligence since 1997. The book provides complete coverage of the core issues in the field, especially in fuzzy logic and control as well as for evolutionary optimization algorithms including genetic programming, in a comprehensive and systematic way.

Theoretical and methodological investigations are complemented by prototypic applications for design and management tasks in electrical engineering, mechanical engineering, and chemical engineering.

This book will become a valuable source of reference for researchers active in computational intelligence. Advanced students and professionals interested in learning about and applying advanced techniques of computational intelligence will appreciate the book as a useful guide enhanced by numerous examples and applications in a variety of fields.

Contents

Introduction

I- Fuzzy Logic

Mathematical Foundations of Fuzzy Inference
Data-Based Fuzzy Modeling for Complex Applications
Fuzzy Modeling to Cope with Ambiguities

II- Evolutionary Algorithms

Theory of Evolutionary Algorithms and Genetic Programming
Design of Evolutionary Algorithms and Applications in Surface Reconstruction
Genetic Programming and Its Application in Machining Technology

III- Machine Learning and Optimization

Novel Learning Tasks, Optimization, and Their Application

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	H.-P. Schwefel, I. Wegener, K. Weinert
Parution	06/12/2002
Nb. de pages	332
Format	16 x 24
Couverture	Relié
Poids	754g
Intérieur	Noir et Blanc
EAN13	9783540432692