Evolutionary Computation in Practice

Tina Yu

ISBN 10: 3642094929 / ISBN 13: 9783642094927

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2010, 2010

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -This book is loaded with examples in which computer scientists and engineers have used evolutionary computation - programs that mimic natural evolution - to solve many real-world problems. They aren¿t abstract, mathematically intensive papers, but accounts of solving important problems, including tips from the authors on how to avoid common pitfalls, maximize the effectiveness and efficiency of the search process, and many other practical suggestions.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 336 pp. Englisch.

Seller Inventory # 9783642094927

Bibliographic Details

• Title: Evolutionary Computation in Practice
• Publisher: Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2010
• Publication Date: 2010
• Language: English
• ISBN 10: 3642094929
• ISBN 13: 9783642094927
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 19D millimeters 235 millimeters width by 155 millimeters height by 19 millimeters depth
• Weight: 511 grams

About this title

Synopsis

This book is loaded with examples in which computer scientists and engineers have used evolutionary computation - programs that mimic natural evolution - to solve many real-world problems. They aren't abstract, mathematically intensive papers, but accounts of solving important problems, including tips from the authors on how to avoid common pitfalls, maximize the effectiveness and efficiency of the search process, and many other practical suggestions.

From the Back Cover

This book is loaded with examples in which computer scientists and engineers have used evolutionary computation―programs that mimic natural evolution―to solve real problems. They aren’t abstract, mathematically intensive papers, but accounts of solving important problems, including tips from the authors on how to avoid common pitfalls, maximize the effectiveness and efficiency of the search process, and many other practical suggestions. Some of the authors have already won "Humies"―Human Competitive Results Awards―for the work described in this book. I highly recommend it as a highly concentrated source of good problem-solving approaches that are applicable to many real-world problems.

--Erik Goodman, Vice President, Red Cedar Technology, Inc.; Professor, Electrical & Computer Engineering, Michigan State University; and Founding Chair, ACM SIGEVO, the Special Interest Group on Genetic and Evolutionary Computation of the Association for Computing Machinery