A survey on optimization metaheuristics
A survey on optimization metaheuristics
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DOI：
10.1016/j.ins.2013.02.041
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发表时间：
2013-07-10
影响因子：
8.1
通讯作者：
Siarry, Patrick
中科院分区：
文献类型：
--
作者：
Boussaid, Ilhern;Lepagnot, Julien;Siarry, Patrick
元启发式学被广泛认为是许多硬优化问题的有效方法。本文对一些主要的元启发式学进行了调查。它概述了在各种元启发式学中使用的组件和概念，以分析其相似性和差异。本文采用的分类区分了基于溶液的元启发术和基于人群的元启发术。文献调查伴随着参考文献，以获取更多详细信息，包括申请。还简要讨论了最近的趋势。 （c）2013 Elsevier Inc.保留所有权利。
Metaheuristics are widely recognized as efficient approaches for many hard optimization problems. This paper provides a survey of some of the main metaheuristics. It outlines the components and concepts that are used in various metaheuristics in order to analyze their similarities and differences. The classification adopted in this paper differentiates between single solution based metaheuristics and population based metaheuristics. The literature survey is accompanied by the presentation of references for further details, including applications. Recent trends are also briefly discussed. (c) 2013 Elsevier Inc. All rights reserved.