Integrating tabu search and VLSN search to develop enhanced algorithms: A case study using bipartite boolean quadratic programs

Fred Glover, Tao Ye, Abraham P. Punnen and Gary Kochenberger

European Journal of Operational Research, 2015, vol. 241, issue 3, 697-707

Abstract: The bipartite boolean quadratic programming problem (BBQP) is a generalization of the well studied boolean quadratic programming problem. The model has a variety of real life applications; however, empirical studies of the model are not available in the literature, except in a few isolated instances. In this paper, we develop efficient heuristic algorithms based on tabu search, very large scale neighborhood (VLSN) search, and a hybrid algorithm that integrates the two. The computational study establishes that effective integration of simple tabu search with VLSN search results in superior outcomes, and suggests the value of such an integration in other settings. Complexity analysis and implementation details are provided along with conclusions drawn from experimental analysis. In addition, we obtain solutions better than the best previously known for almost all medium and large size benchmark instances.

Keywords: Quadratic programming; Boolean variables; Metaheuristics; Tabu search; Worst-case analysis (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:241:y:2015:i:3:p:697-707

DOI: 10.1016/j.ejor.2014.09.036

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