| 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 are established tools for the solution of computationally hard problems arising in computer science, business adm- istration, engineering, biology, and various other disciplines. To a large extent, their success is due to their conceptual simplicity, broad applicability and high performance for many important problems studied in academia and enco- tered in real-world applications. SLS methods include a wide spectrum of te- niques, ranging from constructive search procedures and iterative improvement algorithms to more complex SLS methods, 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. In recent years, it has become - creasingly evident that success with SLS algorithms depends not merely on the adoption and e?cient implementation of the most appropriate SLS technique for a given problem, but also on the mastery of a more complex algorithm - gineering process. Challenges in SLS algorithm development arise | | 出版日期 | Conference proceedings 2009 | | 关键词 | Scheduling; algorithm performance; algorithms; ant colony; autonomous systems; combinatorial optimization | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-03751-1 | | isbn_softcover | 978-3-642-03750-4 | | isbn_ebook | 978-3-642-03751-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2009 |
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