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Multi-objective meta-heuristics: An overview of the current state-of-the-art

多客观的元启发规则:水流的概述最先进

作     者:Jones, DF Mirrazavi, SK Tamiz, M 

作者机构:Univ Portsmouth Sch Comp Sci & Math Portsmouth PO1 2EG Hants England 

出 版 物:《EUROPEAN JOURNAL OF OPERATIONAL RESEARCH》 (欧洲运筹学杂志)

年 卷 期:2002年第137卷第1期

页      面:1-9页

核心收录:

学科分类:1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 070104[理学-应用数学] 0701[理学-数学] 

基  金:Engineering and Physical Sciences Research Council  EPSRC  (GR/M27593) 

主  题:multi-objective programming compromise programming goal programming meta-heuristics genetic algorithms simulated annealing tabu search 

摘      要:This paper gives an overview of meta-heuristics methods utilized within the paradigm of multi-objective programming. This is an area of research that has undergone substantial expansion and development in the past decade. A literature review for this period is presented and analyzed. Analysis of the types of multi-objective techniques and meta-heuristics is undertaken and reasons for their use hypothesized. The strengths and weaknesses of meta-heuristic methods as applied to multi-objective programmes are discussed. Finally, a summary is given together with suggestions for future research. (C) 2002 Elsevier Science B.V. All rights reserved.

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