| Adaptive and Multilevel Metaheuristics 2008 Edition Contributor(s): Cotta, Carlos (Editor), Sevaux, Marc (Editor), Sörensen, Kenneth (Editor) |
|
 |
ISBN: 3540794379 ISBN-13: 9783540794370 Publisher: Springer OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: May 2008 |
| Additional Information |
| BISAC Categories: - Mathematics | Applied - Computers | Intelligence (ai) & Semantics - Technology & Engineering | Engineering (general) |
| Dewey: 006.3 |
| LCCN: 2008925773 |
| Series: Studies in Computational Intelligence |
| Physical Information: 0.69" H x 6.14" W x 9.21" (1.29 lbs) 275 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |