Halman, Nir, Kellerer, Hans and Strusevich, Vitaly A. (2018) Approximation schemes for non-separable non-linear Boolean programming problems under nested knapsack constraints. European Journal of Operational Research, 270 (2). pp. 435-447. ISSN 0377-2217 (doi:https://doi.org/10.1016/j.ejor.2018.04.013)

Preview	PDF (Publisher's PDF - Open Access) 20042 STRUSEVICH_Approximation_Schemes_for_Non-Separable_Non-Linear_Boolean_(OA)_2018.pdf - Published Version Available under License Creative Commons Attribution. Download (686kB) | Preview
Preview	PDF (Author Accepted Manuscript) 20042 STRUSEVICH_Approximation_Schemes_for_Non-Separable_Non-Linear_Boolean_Programming_2018.pdf - Accepted Version Available under License Creative Commons Attribution. Download (376kB) | Preview

Abstract

We consider a fairly general model of “take-or-leave”decision-making. Given a number of items of a particular weight, the decision-maker either takes (accepts) an item or leaves (rejects) it. We design fully polynomial-time approximation schemes (FPTASs) for optimization of a non-separable non-linear function which depends on which items are taken and which are left. The weights of the taken items are subject to nested constraints. There is a noticeable lack of approximation results on integer programming problems with non-separable functions. Most of the known positive results address special forms of quadratic functions, and in order to obtain the corresponding approximation algorithms and schemes considerable technical difficulties have to be overcome. We demonstrate how for the problem under consideration and its modifications FPTASs can be designed by using (i) the geometric rounding techniques, and (ii) methods of K -approximation sets and functions. While the latter approach leads to a faster scheme, the running times of the of both algorithms compare favorably with known analogues for less general problems.

Item Type:	Article
Additional Information:	© 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/)
Uncontrolled Keywords:	Combinatorial optimization; Non-linear boolean programming; Geometric rounding; K -approximation sets and functions, FPTAS
Subjects:	Q Science > QA Mathematics
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:06
URI:	http://gala.gre.ac.uk/id/eprint/20042

Actions (login required)

View Item

Downloads