Multiple Subset Sum with Inclusive Assignment Set Restrictions

被引:9
作者
Kellerer, Hans [2 ]
Leung, Joseph Y. -T. [3 ]
Li, Chung-Lun [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R China
[2] Graz Univ, Inst Stat & Operat Res, A-8010 Graz, Austria
[3] New Jersey Inst Technol, Dept Comp Sci, Newark, NJ 07102 USA
基金
美国国家科学基金会;
关键词
subset sum; inclusive assignment sets; worst case analysis; polynomial time approximation scheme; KNAPSACK-PROBLEM; ALGORITHM;
D O I
10.1002/nav.20466
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
In a traditional multiple subset sum problem (MSSP), there is a given set of items and a given set of bins (or knapsacks) with identical capacities. The objective is to select a subset of the items and pack them into the bins such that the total weight of the selected items is maximized. However, in many applications of the MSSP, the bins have assignment restrictions. In this article, we study the subset sum problem with inclusive assignment set restrictions, in which the assignment set of one item (i.e., the set of bins that the item may be assigned to) must be either a subset or a superset of the assignment set of another item. We develop an efficient 0.6492-approximation algorithm and test its effectiveness via computational experiments. We also develop a polynomial time approximation scheme for this problem. (C) 2011 Wiley Periodicals, Inc. Naval Research Logistics 58: 546-563, 2011
引用
收藏
页码:546 / 563
页数:18
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