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- W2383313206 abstract "Based on the analysis of the characteristic of flexible job shop scheduling problem, a new genetic algorithm is presented. The encoding method represents the priority dispatching sequence and machines where each operation can be processed. Then, the feasible schedules are found and the constraints are explained in the chromosome. The genetic operators not only avoid the illegal schemes and ensure the diversification of evolving descendants, but also make the algorithm have memory function. The simulation results validate the effectiveness of the proposed (algorithm.)" @default.
- W2383313206 created "2016-06-24" @default.
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- W2383313206 date "2004-01-01" @default.
- W2383313206 modified "2023-10-03" @default.
- W2383313206 title "Solving flexible job shop scheduling problem using genetic (algorithm)" @default.
- W2383313206 hasPublicationYear "2004" @default.
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