Parallel Problem Solving from Nature: 1st Workshop, PPSN I Dortmund, FRG, October 1-3, 1990. Proceedings (Lecture Notes in Computer Science)

Schwefel, Hans-Paul [Editor]; Männer, Reinhard [Editor];

ISBN 10: 3540541489 / ISBN 13: 9783540541486

Published by Springer, 1991

About this Item

We are unable to ship to Canada at this time.0387541489 Ex-library paperback in very nice condition with the usual markings and attachments.

Seller Inventory # DA1411206

Bibliographic Details

• Title: Parallel Problem Solving from Nature: 1st Workshop, PPSN I Dortmund, FRG, October 1-3, 1990. Proceedings (Lecture Notes in Computer Science)
• Publisher: Springer
• Publication Date: 1991
• Language: English
• ISBN 10: 3540541489
• ISBN 13: 9783540541486
• Binding: Paperback
• Condition: Very Good
• Weight: 54 ounces

About this title

Synopsis

With the appearance of massively parallel computers, increased attention has been paid to algorithms which rely upon analogies to natural processes. This development defines the scope of the PPSN conference at Dortmund in 1990 whose proceedings are presented in this volume. The subjects treated include: - Darwinian methods such as evolution strategies and genetic algorithms; - Boltzmann methods such as simulated annealing; - Classifier systems and neural networks; - Transfer of natural metaphors to artificial problem solving. The main objectives of the conference were: - To gather theoretical results about and experimental comparisons between these algorithms, - To discuss various implementations on different parallel computer architectures, - To summarize the state of the art in the field, which was previously scattered widely both among disciplines and geographically.

Synopsis

With the appearance of powerful parallel computers, increased attention has been paid to algorithms which rely upon analogies to natural processes. Recent developments in this field were discussed at a workshop held in Dortmund in 1990, whose proceedings are presented in this volume. The subjects treated include Darwinian methods such as evolution strategies and genetic algorithms, Boltzmann methods such as simulated annealing, classifier systems and neural networks, and the transfer of natural metaphors to artificial problem-solving. The main objectives of the conference were to gather theoretical results about these algorithms, to discuss various implementations on different parallel computer architectures, and to summarize the state of the art in the field.