- Title
- A new local and global optimization method for mixed integer quadratic programming problems
- Creator
- Li, G. Q.; Wu, Zhiyou; Quan, Jing
- Date
- 2010
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/35102
- Identifier
- vital:3788
- Identifier
-
https://doi.org/10.1016/j.amc.2010.07.062
- Abstract
- In this paper, a new local optimization method for mixed integer quadratic programming problems with box constraints is presented by using its necessary global optimality conditions. Then a new global optimization method by combining its sufficient global optimality conditions and an auxiliary function is proposed. Some numerical examples are also presented to show that the proposed optimization methods for mixed integer quadratic programming problems with box constraints are very efficient and stable. Crown Copyright © 2010.
- Publisher
- Elsevier
- Relation
- Applied Mathematics and Computation Vol. 217, no. 6 (2010), p. 2501-2512
- Rights
- Copyright Elsevier
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0102 Applied Mathematics; 0103 Numerical and Computational Mathematics; Auxiliary function; Global optimality condition; Mixed integer quadratic programming problem; Optimization method
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