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Particle Swarm Optimization for Batch Scheduling Problem in Flexible Workshop
Abstract:
This paper puts forward an improved optimization algorithm for batch scheduling problem in flexible workshop. Code is designed as batch selection probability of different production tasks and defined as production plan through effective decoding procedure. Simulation experiment on the performance of this algorithm is conducted in instances generated randomly. The results show that this algorithm has good performance.
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465-468
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Online since:
November 2014
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© 2015 Trans Tech Publications Ltd. All Rights Reserved
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