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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Veröffentlicht in:Cybernetics and systems analysis Jg. 47; H. 6; S. 889 - 897
Hauptverfasser: Shylo, V.P, Shylo, O.V
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Springer 01.11.2011
Schlagworte:
ISSN:1060-0396
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Zusammenfassung: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.
ISSN:1060-0396
DOI:10.1007/s10559-011-9368-5