A GREEDY RANDOMIZED ADAPTIVE SEARCH PROCEDURE FOR THE 2-PARTITION PROBLEM

被引:29
作者
LAGUNA, M
FEO, TA
ELROD, HC
机构
[1] UNIV TEXAS,AUSTIN,TX 78712
[2] PRINCETON TRANSPORTAT CONSULTING GRP INC,BURLINGTON,MA
关键词
D O I
10.1287/opre.42.4.677
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
We present a greedy randomized adaptive search procedure (GRASP) for the network 2-partition problem. The heuristic is empirically compared with the Kernighan-Lin (K&L) method on a wide range of instances. The GRASP approach dominates K&L with respect to solution value on a large percentage of the instances tested. The ability of GRASP to find optimal solutions is assessed by comparing its performance with a general purpose mixed integer programming package.
引用
收藏
页码:677 / 687
页数:11
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