Genetic Algorithms in Engineering and Computer Science: 1st
Published on 23. November 1995
Book
Hardback
480 pages
978-0-471-95859-8 (ISBN)
Description
This study describes evolution-based algorithms used for both the study of complex systems and the resolution of difficult optimization problems. Evolution algorithms are techniques drawn from artificial intelligence which mimic nature according to Darwin's principle of the survival of the fittest. The contributors describe theoretical, numerical and applied aspects of genetic algorithms for the computational treatment of continuous, discrete and combinatorial optimization problems. They link artificial intelligence and scientific computing in order to increase the performance of evolution programs for solving real problems.
More details
Series
Language
English
Place of publication
Chichester
United Kingdom
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
Ill.
Dimensions
Height: 250 mm
Width: 172 mm
Weight
990 gr
ISBN-13
978-0-471-95859-8 (9780471958598)
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Schweitzer Classification
Content
Partial table of contents:; THEORETICAL AND COMPUTATIONAL ASPECTS IN GAs AND ESs; Evolving Multi-Agent Systems (T. Fogarty, et al.); The Existential Pleasures of Genetic Algorithms (D. Goldberg); A General Study on Genetic Fuzzy Systems (O. Cordsn and F. Herrera); The Science of Breeding and Its Application to Genetic Algorithms (H. M; hlenbein); Modeling Hybrid Genetic Algorithms (D. Whitley); APPLICATIONS AND COMPUTATIONAL IMPLEMENTATION; Parallel genetic Algorithms for Optimization in CFD (D. Doorly); Genetic Algorithm Modules in MATLAB: Design and Implementation using Software Engineering Practices (A. Satyadas and K. Krishnakumar); Hybrid GA for Multi Objective Aerodynamic Shape Optimization (C. Poloni); Genetic Algorithms Applications in Computational Fluid Dynamics (D. Quagliarella).