Integrating heuristic information into exact methods: The case of the vertex p-centre problem

被引:7
|
作者
Salhi, S. [1 ]
Al-Khedhairi, A. [2 ]
机构
[1] Univ Kent, CHO, Kent Business Sch, Canterbury CT2 7PE, Kent, England
[2] King Saud Univ, Riyadh, Saudi Arabia
关键词
vertex p-centre; location; set covering problem (SCP); multi-level heuristic; variable neighbourhood search (VNS); exact method; MULTIDIMENSIONAL KNAPSACK-PROBLEM; VARIABLE NEIGHBORHOOD SEARCH; LOCATION-PROBLEMS; GLOBAL OPTIMUM; TABU SEARCH; OPTIMIZATION;
D O I
10.1057/jors.2009.91
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
We solve the vertex p-centre problem optimally using an exact method that considers both upper and lower bounds as part of its search engine. Tight upper bounds are generated quickly via an efficient three-level heuristic, which are then used to derive potential 'lower bounds' accordingly. These two pieces of information when used together make our chosen exact method more efficient at obtaining optimal solutions relatively quickly. The proposed implementation produced excellent results when tested on the OR Library data set. This integrated approach can be adopted for those exact methods that consider both upper and lower bounds within their search engine and hence provide a wider spectrum of applicability in other hard combinatorial problems. Journal of the Operational Research Society (2010) 61, 1619-1631. doi: 10.1057/jors.2009.91 Published online 28 October 2009
引用
收藏
页码:1619 / 1631
页数:13
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