Multiple subset sum with inclusive assignment set restrictions
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 546-563 |
Journal / Publication | Naval Research Logistics |
Volume | 58 |
Issue number | 6 |
Publication status | Published - Sept 2011 |
Externally published | Yes |
Link(s)
Abstract
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. © 2011 Wiley Periodicals, Inc.
Research Area(s)
- inclusive assignment sets, polynomial time approximation scheme, subset sum, worst case analysis
Bibliographic Note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
Citation Format(s)
Multiple subset sum with inclusive assignment set restrictions. / Kellerer, Hans; Leung, Joseph Y.-T.; Li, Chung-Lun.
In: Naval Research Logistics, Vol. 58, No. 6, 09.2011, p. 546-563.
In: Naval Research Logistics, Vol. 58, No. 6, 09.2011, p. 546-563.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review