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books
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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 6 536.95
Price: R 6 209.95
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| book description |
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.
| product details |
Normally shipped |
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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