书目名称 | Handbook of Metaheuristics |
编辑 | Michel Gendreau,Jean-Yves Potvin |
视频video | |
概述 | Covers the important new developments in a fast-moving field.New chapters on large neighborhood search, artificial immune systems and hybrid metaheuristics.New editors are extremely prominent names in |
丛书名称 | International Series in Operations Research & Management Science |
图书封面 |  |
描述 | The rst edition of the Handbook of Metaheuristics was published in 2003 under the editorship of Fred Glover and Gary A. Kochenberger. Given the numerous - velopments observed in the eld of metaheuristics in recent years, it appeared that the time was ripe for a second edition of the Handbook. For different reasons, Fred and Gary were unable to accept Springer’s invitation to prepare this second e- tion and they suggested that we should take over the editorship responsibility of the Handbook. We are deeply honored and grateful for their trust. As stated in the rst edition, metaheuristics are “solution methods that orch- trate an interaction between local improvement procedures and higher level stra- gies to create a process capable of escaping from local optima and performing a robust search of a solution space. ” Although this broad characterization still holds today, many new and exciting developments and extensions have been observed in the last few years. We think in particular to hybrids, which take advantage of the strengths of each of their individual metaheuristic components to better explore the solution space. Hybrids of metaheuristics with other optimization techniques, l |
出版日期 | Book 20102nd edition |
关键词 | algorithms; genetic algorithm; genetic algorithms; genetic programming; heuristics; learning; metaheuristi |
版次 | 2 |
doi | https://doi.org/10.1007/978-1-4419-1665-5 |
issn_series | 0884-8289 |
copyright | Springer Science+Business Media, LLC 2010 |