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A new local and global optimization method for mixed integer quadratic programming problems
- Source :
-
Applied Mathematics & Computation . Nov2010, Vol. 217 Issue 6, p2501-2512. 12p. - Publication Year :
- 2010
-
Abstract
- 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. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 00963003
- Volume :
- 217
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Applied Mathematics & Computation
- Publication Type :
- Academic Journal
- Accession number :
- 54487562
- Full Text :
- https://doi.org/10.1016/j.amc.2010.07.062