ISBN10: 3642106749, ISBN13: 9783642106743, [publisher: Springer] Hardcover Like New
[Redhill, SURRE, United Kingdom] [Publication Year: 2010]

ISBN10: 3642106749, ISBN13: 9783642106743, [publisher: Springer] Hardcover pp. 360 Illus.
[Hounslow, United Kingdom] [Publication Year: 2010]

ISBN10: 3642106749, ISBN13: 9783642106743, [publisher: Springer] Hardcover
[Castle Donington, DERBY, United Kingdom] [Publication Year: 2010]
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Springer , pp. 360 . Hardback. Used. Springer ISBN 3642106749 9783642106743 [US]

ISBN10: 3642106749, ISBN13: 9783642106743, [publisher: Springer] Hardcover pp. 360
[New York, NY, U.S.A.] [Publication Year: 2010]

Springer 2010 Hard cover New, US edition. Satisfaction guaranteed! !

ISBN10: 3642106749, ISBN13: 9783642106743, [publisher: Springer Berlin Heidelberg] Hardcover Druck auf Anfrage Neuware - Printed after ordering - The growing success of biologically inspired algorithms in solving large and complex problems has spawned many interesting areas of research. Over the years, one of the mainstays in bio-inspired research has been the exploitation of parallel and distributed environments to speedup computations and to enrich the algorithms. From the early days of research on bio-inspired algorithms, their inherently parallel nature was recognized and different parallelization approaches have been explored. Parallel algorithms promise reductions in execution time and open the door to solve increasingly larger problems. But parallel platforms also inspire new bio-inspired parallel algorithms that, while similar to their sequential counterparts, explore search spaces differently and offer improvements in solution quality.Theobjective in editing this book was to assemble a sample of the best work in parallel and distributed biologically inspired algorithms. The editors invited researchers in different domains to submit their work.They aimed to include diverse topics to appeal to a wide audience. Some of the chapters summarize work that has been ongoing for several years, while others describe more recent exploratory work. Collectively, these works offer a global snapshot of the most recent efforts of bioinspired algorithms' researchers ...
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