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- W3081041421 abstract "This paper analyses the characteristics of flexible job shop scheduling problem (FJSP), and proposes a genetic simulated annealing algorithm to solve the scheduling problem. Considering the balance of the utilization rate of each machine, the maximum utilization rate of machine, the maximum completion time and other performance indicators are more reasonable, a genetic simulated annealing algorithm combining global search and local search is designed. Through the design of reasonable crossover operator, the global search ability of the genetic simulated annealing algorithm is improved. In addition, the precocity is improved by the simulated annealing algorithm, and the quality of understanding is improved. And finally, the effectiveness and feasibility of the algorithm is verified by simulation experiments." @default.
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- W3081041421 date "2020-01-01" @default.
- W3081041421 modified "2023-10-18" @default.
- W3081041421 title "Analysis of flexible shop scheduling problem based on a genetic simulated annealing algorithm" @default.
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- W3081041421 doi "https://doi.org/10.1063/5.0014632" @default.
- W3081041421 hasPublicationYear "2020" @default.
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