f-Flip strategies for unconstrained binary quadratic programming

Unconstrained binary quadratic programming (UBQP) provides a unifying modeling and solution framework for solving a remarkable range of binary optimization problems, including many accompanied by constraints. Current methods for solving UBQP problems customarily rely on neighborhoods consisting of f...

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Veröffentlicht in:Annals of operations research Jg. 238; H. 1-2; S. 651 - 657
Hauptverfasser: Glover, Fred, Hao, Jin-Kao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.03.2016
Springer
Springer Nature B.V
Springer Verlag
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ISSN:0254-5330, 1572-9338
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Zusammenfassung:Unconstrained binary quadratic programming (UBQP) provides a unifying modeling and solution framework for solving a remarkable range of binary optimization problems, including many accompanied by constraints. Current methods for solving UBQP problems customarily rely on neighborhoods consisting of flip moves that select one or more binary variables and “flip” their values to the complementary value (from 1 to 0 or from 0 to 1). We introduce a class of approaches called f-flip strategies that include a fractional value f as one of those available to the binary variables during intermediate stages of solution. A variety of different f-flip strategies, particularly within the context of multi-start algorithms, are proposed for pursuing intensification and diversification goals in metaheuristic algorithms, accompanied by special rules for evaluating and executing f-flips efficiently.
Bibliographie:ObjectType-Article-1
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content type line 14
ISSN:0254-5330
1572-9338
DOI:10.1007/s10479-015-2076-1