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Parametric tabu-search for mixed integer programs
Authors:Fred Glover
Affiliation:Leeds School of Business, University of Colorado, Boulder, CO 80309-0419, USA
Abstract:A parametric form of tabu-search is proposed for solving mixed integer programming (MIP) problems that creates and solves a series of linear programming (LP) problems embodying branching inequalities as weighted terms in the objective function. The approach extends and modifies a parametric branch and bound procedure of Glover Parametic branch and bound. OMEGA, The International Journal of Management Science 1978;6:1–9], replacing its tree search memory by the adaptive memory framework of tabu-search and introducing new associated strategies that are more flexible than the mechanisms of branch and bound.
Keywords:Mixed integer programming  Tabu search  Metaheuristics  Adaptive memory
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