Global optimization techniques for solving the general quadratic integer programming problem
Identifieur interne : 001677 ( PascalFrancis/Curation ); précédent : 001676; suivant : 001678Global optimization techniques for solving the general quadratic integer programming problem
Auteurs : N. Van Thoai [Allemagne]Source :
- Computational Optimization and Applications [ 0926-6003 ] ; 1998.
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- Pascal (Inist)
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Abstract
We consider the problem of minimizing a general quadratic function over a polytope in the n-dimensional space with integrality restrictions on all of the variables. (This class of problems contains, e.g., the quadratic 0-1 program as a special case.) A finite branch and bound algorithm is established, in which the branching procedure is the so-called integral rectangular partition', and the bound estimation is performed by solving a concave programming problem with a special structure. Three methods for solving this special concave program are proposed.
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<front><div type="abstract" xml:lang="en">We consider the problem of minimizing a general quadratic function over a polytope in the n-dimensional space with integrality restrictions on all of the variables. (This class of problems contains, e.g., the quadratic 0-1 program as a special case.) A finite branch and bound algorithm is established, in which the branching procedure is the so-called integral rectangular partition', and the bound estimation is performed by solving a concave programming problem with a special structure. Three methods for solving this special concave program are proposed.</div>
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