Optimization in dynamic environments: a survey on problems, methods and measures

被引：213

作者：

Cruz, Carlos ^{[1
]}

Gonzalez, Juan R. ^{[1
]}

Pelta, David A. ^{[1
]}

机构：

[1] Univ Granada, Dept Comp Sci & AI, Models Decis & Optimizat Res Grp, Informat & Commun Technol Res Ctr CITIC UGR, E-18071 Granada, Spain

来源：

SOFT COMPUTING | 2011年 / 15卷 / 07期

关键词：

PARTICLE SWARM OPTIMIZER; GENETIC ALGORITHMS; ASSOCIATIVE MEMORY; SPECIAL-ISSUE; IMMIGRANTS; STRATEGY; TRACKING; SCHEME;

D O I：

10.1007/s00500-010-0681-0

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper provides a survey of the research done on optimization in dynamic environments over the past decade. We show an analysis of the most commonly used problems, methods and measures together with the newer approaches and trends, as well as their interrelations and common ideas. The survey is supported by a public web repository, located at http://www.dynamic-optimization.org where the collected bibliography is manually organized and tagged according to different categories.

引用

页码：1427 / 1448

页数：22

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