| 期刊全稱 | Adaptive and Multilevel Metaheuristics | | 影響因子2023 | Carlos Cotta,Marc Sevaux,Kenneth S?rensen | | 視頻video | http://file.papertrans.cn/145/144774/144774.mp4 | | 發(fā)行地址 | Presents recent results in Adaptive and Multilevel Metaheuristics | | 學科分類 | Studies in Computational Intelligence | | 圖書封面 |  | | 影響因子 | .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 multile | | Pindex | Book 2008 |
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