Using metaheuristic compromise programming for the solution of multiple-objective scheduling problems

C Gagné, M Gravel and W L Price ()
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C Gagné: Université du Québec à Chicoutimi
M Gravel: Université du Québec à Chicoutimi
W L Price: Université Laval

Journal of the Operational Research Society, 2005, vol. 56, issue 6, 687-698

Abstract: Abstract In this paper, we propose a generic approach to find compromise solutions for multiple-objective scheduling problems using metaheuristics. As an illustration, we present a new hybrid tabu search/variable neighbourhood search application of this approach for the solution of a bi-objective scheduling problem. Through numerical experiments we demonstrate its efficiency and effectiveness. We have confirmed that compromise programming with the tabu-VNS metaheuristic generates solutions that approach those of the known reference sets.

Keywords: metaheuristics; multiple-objective combinatorial optimization; compromise solutions; scheduling; tabu search; variable neighbourhood search (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (8)

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DOI: 10.1057/palgrave.jors.2601868

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