Solving unconstrained binary quadratic programming problem by global equilibrium search

A new algorithm based on global equilibrium search (GES) is developed to solve an unconstrained binary quadratic programming (UBQP) problem. It is compared with the best methods of solving this problem. The GES algorithm is shown to be better both in speed and solution quality.

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Vydané v:Cybernetics and systems analysis Ročník 47; číslo 6; s. 889 - 897
Hlavní autori: Shylo, V.P, Shylo, O.V
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Springer 01.11.2011
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ISSN:1060-0396
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Abstract A new algorithm based on global equilibrium search (GES) is developed to solve an unconstrained binary quadratic programming (UBQP) problem. It is compared with the best methods of solving this problem. The GES algorithm is shown to be better both in speed and solution quality.
AbstractList A new algorithm based on global equilibrium search (GES) is developed to solve an unconstrained binary quadratic programming (UBQP) problem. It is compared with the best methods of solving this problem. The GES algorithm is shown to be better both in speed and solution quality. Keywords: binary quadratic programming, approximate methods, global equilibrium search, computational experiment, comparative analysis of algorithms.
A new algorithm based on global equilibrium search (GES) is developed to solve an unconstrained binary quadratic programming (UBQP) problem. It is compared with the best methods of solving this problem. The GES algorithm is shown to be better both in speed and solution quality.
Audience Academic
Author Shylo, V.P
Shylo, O.V
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Snippet A new algorithm based on global equilibrium search (GES) is developed to solve an unconstrained binary quadratic programming (UBQP) problem. It is compared...
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Title Solving unconstrained binary quadratic programming problem by global equilibrium search
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