The unconstrained binary quadratic programming problem: a survey
Gary Kochenberger (),
Jin-Kao Hao (),
Fred Glover (),
Mark Lewis (),
Zhipeng Lü (),
Haibo Wang () and
Yang Wang ()
Additional contact information
Gary Kochenberger: University of Colorado at Denver
Jin-Kao Hao: Université d’Angers
Fred Glover: OptTek Inc.
Mark Lewis: Missouri Western State University
Zhipeng Lü: Huazhong University of Science and Technology
Haibo Wang: Texas A&M International University
Yang Wang: Northwestern Polytechnical University
Journal of Combinatorial Optimization, 2014, vol. 28, issue 1, No 5, 58-81
Abstract:
Abstract In recent years the unconstrained binary quadratic program (UBQP) has grown in importance in the field of combinatorial optimization due to its application potential and its computational challenge. Research on UBQP has generated a wide range of solution techniques for this basic model that encompasses a rich collection of problem types. In this paper we survey the literature on this important model, providing an overview of the applications and solution methods.
Keywords: Unconstrained binary quadratic programs; Combinatorial optimization; Metaheuristics (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (26)
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DOI: 10.1007/s10878-014-9734-0
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