Global equilibrium search applied to the unconstrained binary quadratic optimization problem

Global equilibrium search applied to the unconstrained binary quadratic optimization problem

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Article ID: iaor2009691
Country: United Kingdom
Volume: 23
Issue: 1
Start Page Number: 129
End Page Number: 140
Publication Date: Feb 2008
Journal: Optimization Methods & Software
Authors: , , ,
Keywords: heuristics: genetic algorithms
Abstract:

We describe a heuristic method for solving the unconstrained binary quadratic optimization problem based on a global equilibrium search framework. We investigate performance of the proposed approach and compare it with the best available solver on well-known benchmarks instances. The reported computational results indicate a high efficiency of the heuristic.

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