A new particle swarm optimization for the open shop scheduling problem |
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Authors: | DY Sha Cheng-Yu Hsu |
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Affiliation: | 1. Department of Industrial Engineering and System Management, Chung Hua University, Hsinchu 300, Taiwan, ROC;2. Department of Industrial Engineering and Management, National Chiao Tung University, 1001 Ta Hsueh Road, Hsinchu 300, Taiwan, ROC |
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Abstract: | This paper presents a new particle swarm optimization (PSO) for the open shop scheduling problem. Compared with the original PSO, we modified the particle position representation using priorities, and the particle movement using an insert operator. We also implemented a modified parameterized active schedule generation algorithm (mP-ASG) to decode a particle position into a schedule. In mP-ASG, we can reduce or increase the search area between non-delay schedules and active schedules by controlling the maximum delay time allowed. Furthermore, we hybridized our PSO with beam search. The computational results show that our PSO found many new best solutions of the unsolved problems. |
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Keywords: | Particle swarm optimization Open shop scheduling |
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