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Objective Flow-Shop Scheduling Using PSO Algorithm | ||
| Diyala Journal For Pure Science | ||
| Article 1, Volume 9, Issue 1, 2013, Pages 140-153 | ||
| Author | ||
| Dhahir A. Abdullah | ||
| Abstract | ||
| Swarm intelligence is the study of collective behavior in decentralized and self-organized systems. Particle swarm optimization algorithm (PSOA) models the exploration of a problem space by a population of agents or particles. In this paper, PSOA is used to reduce the makespan and idle time of jop-shop scheduling problem. The proposed algorithm update the speed (Vik ) and position (Xik ) depend on local (Pbest ) and global (Gbest ) values, in order to find best solutions. The critical path is found by drawing Gantt chart. | ||
| Keywords | ||
| Makespan; PSO; practice swarm algorithm; job scheduling problem | ||
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