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- W2421174564 abstract "Job shop scheduling problem, due to its discrete, dynamic, multi-machine, multi-variables, constraining and other typical NP-hard resistance natures, is bound to play an important role in NP studies. This paper proposes a new improved genetic algorithm, the isolation niche algorithm and adaptive genetic algorithm, for the sake of improving quality of solutions. Based on numerous examples and data analysis, it is rather safe to conclude that the proposed hybrid genetic algorithm has significant advantages." @default.
- W2421174564 created "2016-06-24" @default.
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- W2421174564 date "2015-12-01" @default.
- W2421174564 modified "2023-09-24" @default.
- W2421174564 title "Improved hybrid genetic algorithm for Job Shop problem" @default.
- W2421174564 cites W1977080039 @default.
- W2421174564 doi "https://doi.org/10.1109/iccsnt.2015.7490746" @default.
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