Abstract
To solve the dynamic and complex calculation problems in production scheduling procedure, a fitness function of particle swarm algorithm and operation strategy of shop scheduling agent are constructed by means of particle swarm algorithm and multi-agent cooperation characteristic. Moreover, an improved algorithm based on particle swarm algorithm is established and an optimal shop scheduling procedure by particle swarm algorithm based on multi-agent in this paper. Finally, the simulation system of production dynamic scheduling by particle swarm improved algorithm based on multi-agent was demonstrated and validated by QUEST software. It has shown the production scheduling calculation time in proposed method can be improved and provides a support for adapting to complex and dynamic production scheduling.
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Qin, L., Kan, S. (2013). An Optimal Production Scheduling Method Based on Improved Particle Swarm Algorithm. In: Yang, Y., Ma, M. (eds) Proceedings of the 2nd International Conference on Green Communications and Networks 2012 (GCN 2012): Volume 4. Lecture Notes in Electrical Engineering, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35440-3_22
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DOI: https://doi.org/10.1007/978-3-642-35440-3_22
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