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2-approximation algorithm for minmax absolute maximum lateness scheduling-location problem
Affiliation:1. Department of Mathematics, Technische Universität Kaiserslautern, Paul-Ehrlich-Str. 14, 67663 Kaiserslautern, Germany;2. Faculty of Fundamental Sciences, Van Lang University, 69/68 Dang Thuy Tram Street, Ward 13, Binh Thanh District, Ho Chi Minh City, Viet Nam
Abstract:The problem of minmax absolute scheduling-location is investigated on trees with interval edge length. Jobs are located at vertices and must travel to the machine. The goal is to find a machine location and simultaneously a schedule to minimize the maximum lateness in the worst-case. We derive a result that could reduce the robust versions to deterministic problems. An efficient algorithm is developed to solve special cases. A 2-approximation algorithm is proposed for the robust problem on the underlying tree.
Keywords:Scheduling-location  Approximation algorithms  Uncertainty  Robust optimization  Lateness
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