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.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.