A new branch and bound algorithm for integer quadratic programming problems
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Authors
Xiaohua Ma
- Institute of Information and System Sciences, Beifang University for Nationalities, Yinchuan, 750021, China.
Yuelin Gao
- Institute of Information and System Sciences, Beifang University for Nationalities, Yinchuan, 750021, China.
Xia Liu
- Institute of Information and System Sciences, Beifang University for Nationalities, Yinchuan, 750021, China.
Abstract
For integer quadratic programming problems, a new branch and bound algorithm is proposed in this
paper through a series of improvements on the traditional branch and bound algorithm, which can be
used to solve integer quadratic programming problems effectively and efficiently. This algorithm employs
a new linear relaxation and bound method and a rectangular deep bisection method. At the same time, a
rectangular reduction strategy is used to improve the approximation degree and speed up the convergence
of the algorithm. Numerical results show that the proposed algorithm is feasible and effective and has
improved the existing relevant branch and bound algorithms.
Share and Cite
ISRP Style
Xiaohua Ma, Yuelin Gao, Xia Liu, A new branch and bound algorithm for integer quadratic programming problems, Journal of Nonlinear Sciences and Applications, 9 (2016), no. 3, 1153--1164
AMA Style
Ma Xiaohua, Gao Yuelin, Liu Xia, A new branch and bound algorithm for integer quadratic programming problems. J. Nonlinear Sci. Appl. (2016); 9(3):1153--1164
Chicago/Turabian Style
Ma, Xiaohua, Gao, Yuelin, Liu, Xia. "A new branch and bound algorithm for integer quadratic programming problems." Journal of Nonlinear Sciences and Applications, 9, no. 3 (2016): 1153--1164
Keywords
- Integer quadratic programming
- branch and bound
- linear relaxation
- rectangular deep bisection
- rectangular reduction.
MSC
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