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Global optimality conditions and optimization methods for quadratic assignment problems
Authors:Zhiyou Wu  Yongjian Yang  Fusheng Bai  Jing Tian
Institution:1. School of Science, Information Technology and Engineering, University of Ballarat, Ballarat 3353, Victoria, Australia;2. Department of Mathematics, Shanghai University, Shanghai 200444, China
Abstract:In this paper some global optimality conditions for general quadratic {0, 1} programming problems with linear equality constraints are discussed and then some global optimality conditions for quadratic assignment problems (QAP) are presented. A local optimization method for (QAP) is derived according to the necessary global optimality conditions. A global optimization method for (QAP) is presented by combining the sufficient global optimality conditions, the local optimization method and some auxiliary functions. Some numerical examples are given to illustrate the efficiency of the given optimization methods.
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