Parallel Problem Solving from Nature - PPSN III : International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature, Jerusalem, Israel, October 9 - 14, 1994. Proceedings

Yuval Davidor

ISBN 10: 3540584846 / ISBN 13: 9783540584841

Edité par Springer Berlin Heidelberg, 1994

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9783540584841

Détails bibliographiques

• Titre: Parallel Problem Solving from Nature - PPSN III : International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature, Jerusalem, Israel, October 9 - 14, 1994. Proceedings
• Éditeur: Springer Berlin Heidelberg
• Date de parution: 1994
• Langue: anglais
• ISBN à 10 chiffres: 3540584846
• ISBN à 13 chiffres: 9783540584841
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

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.