A taxonomy of hybrid metaheuristics

被引:538
作者
Talbi, EG [1 ]
机构
[1] Lab Informat Fondamentale Lille, CNRS, URA 369, F-59655 Villeneuve Dascq, France
关键词
taxonomy; combinatorial optimization; metaheuristics; hybrid algorithms; parallel algorithms;
D O I
10.1023/A:1016540724870
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Hybrid metaheuristics have received considerable interest these recent years in the field of combinatorial optimization. A wide variety of hybrid approaches have been proposed in the literature. In this paper, a taxonomy of hybrid metaheuristics is presented in an attempt to provide a common terminology and classification mechanisms. The taxonomy, while presented in terms of metaheuristics, is also applicable to most types of heuristics and exact optimization algorithms. As an illustration of the usefulness of the taxonomy an annoted bibliography is given which classifies a large number of hybrid approaches according to the taxonomy.
引用
收藏
页码:541 / 564
页数:24
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