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- W2330317811 abstract "Many studies on scheduling problems assume that each machine is used exclusively for one operation and disregard machine setup time. This exploration studies two-machine flow-shop scheduling problems in which both machines are versatile and setup time is considered. First, a modified optimal algorithm for determining the optimal schedule is developed to minimize the makespan of jobs for these problems. Second, a genetic algorithm is used to quickly find near-optimal schedules for large scale problems. Finally, computational experiments are performed to illustrate the effectiveness and efficiency of the proposed algorithms." @default.
- W2330317811 created "2016-06-24" @default.
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- W2330317811 date "2010-01-01" @default.
- W2330317811 modified "2023-09-25" @default.
- W2330317811 title "Using genetic algorithm in two-machine flexible flow-shop scheduling with setup times" @default.
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- W2330317811 doi "https://doi.org/10.1080/02522667.2010.10699946" @default.
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