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http://dx.doi.org/10.7737/MSFE.2013.19.1.025

Inverse Bin-Packing Number Problems: Polynomially Solvable Cases  

Chung, Yerim (School of Business, Yonsei University)
Publication Information
Management Science and Financial Engineering / v.19, no.1, 2013 , pp. 25-28 More about this Journal
Abstract
Consider the inverse bin-packing number problem. Given a set of items and a prescribed number K of bins, the inverse bin-packing number problem, IBPN for short, is concerned with determining the minimum perturbation to the item-size vector so that all the items can be packed into K bins or less. It is known that this problem is NP-hard (Chung, 2012). In this paper, we investigate some special cases of IBPN that can be solved in polynomial time. We propose an optimal algorithm for solving the IBPN instances with two distinct item sizes and the instances with large items.
Keywords
Inverse Combinatorial Optimization; Bin-Packing Problem; Computational Complexity;
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Times Cited By KSCI : 1  (Citation Analysis)
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