Evolutionary Computation in Practice

. Ed(s): Yu, Tina; Davis, Lawrence; Baydar, Cem; Roy, Rajkumar

ISBN 10: 3540757708 / ISBN 13: 9783540757702

Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2008

Riguardo questo articolo

A title that 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 on how to avoid common pitfalls. Editor(s): Yu, Tina; Davis, Lawrence; Baydar, Cem; Roy, Rajkumar. Series: Studies in Computational Intelligence. Num Pages: 322 pages, 29 black & white tables, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 17. Weight in Grams: 672. . 2008. Hardback. . . . . Books ship from the US and Ireland.

Codice articolo V9783540757702

Dati bibliografici

• Titolo: Evolutionary Computation in Practice
• Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Data di pubblicazione: 2008
• Lingua: Inglese
• ISBN 10: 3540757708
• ISBN 13: 9783540757702
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

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.

Dalla quarta di copertina

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