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

被引:369
作者
Jones, DF [1 ]
Mirrazavi, SK [1 ]
Tamiz, M [1 ]
机构
[1] Univ Portsmouth, Sch Comp Sci & Math, Portsmouth PO1 2EG, Hants, England
基金
英国工程与自然科学研究理事会;
关键词
multi-objective programming; compromise programming; goal programming; meta-heuristics; genetic algorithms; simulated annealing; tabu search;
D O I
10.1016/S0377-2217(01)00123-0
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
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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页码:1 / 9
页数:9
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