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Adaptive and Multilevel Metaheuristics

Edited by Carlos Cotta, Edited by Marc Sevaux, Edited by Kenneth Sörensen

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normal price: R 4,375.95

Price: R 4,157.95


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One of the keystones in practical metaheuristic problem-solving is the fact that tuning the optimization technique to the problem under consideration is crucial for achieving top performance. This tuning/customization is usually in the hands of the algorithm designer, and despite some methodological attempts, it largely remains a scientific art. Transferring a part of this customization effort to the algorithm itself -endowing it with smart mechanisms to self-adapt to the problem- has been a long pursued goal in the field of metaheuristics. These mechanisms can involve different aspects of the algorithm, such as for example, self-adjusting the parameters, self-adapting the functioning of internal components, evolving search strategies, etc. Recently, the idea of hyperheuristics, i.e., using a metaheuristic layer for adapting the search by selectively using different low-level heuristics, has also been gaining popularity. This volume presents recent advances in the area of adaptativeness in metaheuristic optimization, including up-to-date reviews of hyperheuristics and self-adaptation in evolutionary algorithms, as well as cutting edge works on adaptive, self-adaptive and multilevel metaheuristics, with application to both combinatorial and continuous optimization.

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Normally shipped | Available from overseas. Delivery time is 14 - 21 days
Publisher | Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Published date | 28 Oct 2010
Language |
Format | Paperback / softback
Pages | 275
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-6420-9833-8
Readership Age |
BISAC | technology / engineering / general


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Normally shipped | Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price | R 7,172.95
Price | R 6,813.95 | on special |



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