Abstract
Most of the well known methods for solving multi-objective combinatorial optimization problems deal with only two objectives. In this paper, we develop a metaheuristic method for solving multi-objective assignment problems with three or more objectives. This method is based on the dominance cost variant of the multi-objective simulated annealing (DCMOSA) and hybridizes neighborhood search techniques which consist of either a local search or a multi-objective branch and bound search (here the multi-objective branch and bound search is used as a local move to a fragment of a solution).
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Adiche, C., Aïder, M. A Hybrid Method for Solving the Multi-objective Assignment Problem. J Math Model Algor 9, 149–164 (2010). https://doi.org/10.1007/s10852-010-9123-3
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DOI: https://doi.org/10.1007/s10852-010-9123-3
Keywords
- Combinatorial optimization
- Multi-objective simulated annealing
- Assignment problem
- Multi-objective branch and bound method