Comparative performance of tabu search and simulated annealing heuristics for the quadratic assignment problem

被引:21
|
作者
Paul, Gerald [1 ,2 ]
机构
[1] Boston Univ, Ctr Polymer Studies, Boston, MA 02215 USA
[2] Boston Univ, Dept Phys, Boston, MA 02215 USA
关键词
Combinatorial optimization; Computing science; Heuristics; Tabu search; Simulated annealing; ALGORITHM;
D O I
10.1016/j.orl.2010.09.009
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
For almost two decades the question of whether tabu search (TS) or simulated annealing (SA) performs better for the quadratic assignment problem has been unresolved. To answer this question satisfactorily, we compare performance at various values of targeted solution quality, running each heuristic at its optimal number of iterations for each target. We find that for a number of varied problem instances, SA performs better for higher quality targets while IS performs better for lower quality targets. (C) 2010 Elsevier B.V. All rights reserved.
引用
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页码:577 / 581
页数:5
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