Exact and heuristic solution approaches for the mixed integer setup knapsack problem

被引:11
作者
Altay, Nezih [1 ]
Robinson, Powell E., Jr. [2 ]
Bretthauer, Kurt M. [3 ]
机构
[1] Univ Richmond, Robins Sch Business, Dept Management, Richmond, VA 23173 USA
[2] Texas A&M Univ, Dept Informat & Operat Management, Mays Business Sch, College Stn, TX 77843 USA
[3] Indiana Univ, Kelley Sch Business, Operat & Decis Technol Dept, Bloomington, IN 47405 USA
关键词
integer programming; knapsack; cross decomposition; Benders decomposition;
D O I
10.1016/j.ejor.2007.07.003
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
We consider a class of knapsack problems that include setup costs for families of items. An individual item can be loaded into the knapsack only if a setup cost is incurred for the family to which it belongs. A mixed integer programming formulation for the problem is provided along with exact and heuristic solution methods. The exact algorithm uses cross decomposition. The proposed heuristic gives fast and tight bounds. In addition, a Benders decomposition algorithm is presented to solve the continuous relaxation of the problem. This method for solving the continuous relaxation can be used to improve the performance of a branch and bound algorithm for solving the integer problem. Computational performance of the algorithms are reported and compared to CPLEX. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:598 / 609
页数:12
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