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http://148.72.244.84/xmlui/handle/xmlui/8688
Title: | Objective Flow-Shop Scheduling Using PSO Algorithm |
Authors: | Dhahir A. Abdullah |
Keywords: | makespan, PSO-practice swarm algorithm, job scheduling problem. |
Issue Date: | 1-Jan-2013 |
Publisher: | university of Diyala |
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 (Xi k ) depend on local (Pbest ) and global (Gbest ) values, in order to find best solutions. The critical path is found by drawing Gantt chart. |
URI: | http://148.72.244.84:8080/xmlui/handle/xmlui/8688 |
ISSN: | 2222-8373 |
Appears in Collections: | مجلة ديالى للعلوم الاكاديمية / Academic Science Journal (Acad. Sci. J.) |
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161-175 E.pdf | 452.08 kB | Adobe PDF | View/Open |
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