| 书目名称 | Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heur | | 副标题 | International Worksh | | 编辑 | Thomas Stützle,Mauro Birattari,Holger H. Hoos | | 视频video | | | 丛书名称 | Lecture Notes in Computer Science | | 图书封面 |  | | 描述 | Stochastic local search (SLS) algorithms enjoy great popularity as powerful and versatile tools for tackling computationally hard decision and optimization pr- lems from many areas of computer science, operations research, and engineering. To a large degree, this popularity is based on the conceptual simplicity of many SLS methods and on their excellent performance on a wide gamut of problems, ranging from rather abstract problems of high academic interest to the very s- ci?c problems encountered in many real-world applications. SLS methods range from quite simple construction procedures and iterative improvement algorithms to more complex general-purpose schemes, also widely known as metaheuristics, such as ant colony optimization, evolutionary computation, iterated local search, memetic algorithms, simulated annealing, tabu search and variable neighborhood search. Historically, the development of e?ective SLS algorithms has been guided to a large extent by experience and intuition, and overall resembled more an art than a science. However, in recent years it has become evident that at the core of this development task there is a highly complex engineering process, which combines | | 出版日期 | Conference proceedings 2007 | | 关键词 | AI/OR techniques; Boolean function; algorithm perfornamce; algorithms; behavior of SLS algorithms; calcul | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-74446-7 | | isbn_softcover | 978-3-540-74445-0 | | isbn_ebook | 978-3-540-74446-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2007 |
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发表于 2025-3-21 17:28:15
