A Branch-and-Price Algorithm for the Generalized Assignment Problem
Martin Savelsbergh
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Martin Savelsbergh: Georgia Institute of Technology, Atlanta, Georgia
Operations Research, 1997, vol. 45, issue 6, 831-841
Abstract:
The generalized assignment problem examines the maximum profit assignment of jobs to agents such that each job is assigned to precisely one agent subject to capacity restrictions on the agents. A new algorithm for the generalized assignment problem is presented that employs both column generation and branch-and-bound to obtain optimal integer solutions to a set partitioning formulation of the problem.
Keywords: integer programming; optimization algorithm for the GAP (search for similar items in EconPapers)
Date: 1997
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Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:45:y:1997:i:6:p:831-841
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