Parallel Problem Solving from Nature - PPSN III

Yuval Davidor

ISBN 10: 3540584846 / ISBN 13: 9783540584841

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Sep 1994, 1994

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -This volume comprises the 61 revised refereed papers accepted for presentation at the ICEC/PPSN III conferences held jointly in Jerusalem, Israel in October 1994.With the appearance of more and more powerful computers, there is increased interest in algorithms relying upon analogies to natural processes. This book presents a wealth of new theoretical and experimental results on artificial problem solving by applying evolutionary computation metaphors, including evolution strategies, evolutionary programming, genetic algorithms, genetic programming, and classifier systems. Topics such as simulated annealing, immune networks, neural networks, fuzzy systems, and complex, real-world optimization problems are also treated.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 664 pp. Englisch.

Seller Inventory # 9783540584841

Bibliographic Details

• Title: Parallel Problem Solving from Nature - PPSN III
• Publisher: Springer Berlin Heidelberg, Springer Berlin Heidelberg Sep 1994
• Publication Date: 1994
• Language: English
• ISBN 10: 3540584846
• ISBN 13: 9783540584841
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 36D millimeters 235 millimeters width by 155 millimeters height by 36 millimeters depth
• Weight: 990 grams

About this title

Synopsis

This volume comprises the 61 revised refereed papers accepted for presentation at the ICEC/PPSN III conferences held jointly in Jerusalem, Israel in October 1994.
With the appearance of more and more powerful computers, there is increased interest in algorithms relying upon analogies to natural processes. This book presents a wealth of new theoretical and experimental results on artificial problem solving by applying evolutionary computation metaphors, including evolution strategies, evolutionary programming, genetic algorithms, genetic programming, and classifier systems. Topics such as simulated annealing, immune networks, neural networks, fuzzy systems, and complex, real-world optimization problems are also treated.