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• W2003452693 abstract "In this paper, we discuss the scheduling of jobs with incompatible families on parallel batching machines. The performance measure is total weighted tardiness. This research is motivated by a scheduling problem found in the diffusion and oxidation areas of semiconductor wafer fabrication where the machines can be modelled as parallel batch processors. Given that this scheduling problem is NP-hard, we suggest an ant colony optimization (ACO) and a variable neighbourhood search (VNS) approach. Both metaheuristics are hybridized with a decomposition heuristic and a local search scheme. We compare the performance of the two algorithms with that of a genetic algorithm (GA) based on extensive computational experiments. The VNS approach outperforms the ACO and GA approach with respect to time and solution quality." @default.
• W2003452693 created "2016-06-24" @default.
• W2003452693 creator A5032060363 @default.
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• W2003452693 date "2011-12-01" @default.
• W2003452693 modified "2023-10-02" @default.
• W2003452693 title "Metaheuristics for scheduling jobs with incompatible families on parallel batching machines" @default.
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• W2003452693 doi "https://doi.org/10.1057/jors.2010.186" @default.
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