DocumentCode
3314019
Title
Deadlocks Solving Strategies in Hybrid PSO Algorithm for JSSP
Author
Song, Xiaoyu ; Sun, Limei ; Meng, Qiuhong
Author_Institution
Coll. of Inf. & Control Eng., Shenyang Jianzhu Univ., Shenyang
Volume
7
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
614
Lastpage
618
Abstract
PSO algorithm is widely used in solving combinatorial optimization problems. Deadlocks, one of the primary problems for JSSPs (job shop scheduling problem), need to be considered first while using PSO algorithm to solve JSSPs. To obtain effective hybrid PSO algorithm for JSSP, the reason creating deadlock problems in hybrid PSO algorithm based on exchange factor and exchange list is studied and three effective strategies for deadlocks are proposed in this paper. We compare and analyze the performance of three strategies by the experimental results for 13 benchmark problems.
Keywords
combinatorial mathematics; job shop scheduling; particle swarm optimisation; combinatorial optimization; deadlock solving strategy; hybrid PSO algorithm; job shop scheduling problem; particle swarm optimization; Benchmark testing; Control engineering; Educational institutions; Job shop scheduling; Optimization methods; Particle swarm optimization; Performance analysis; Processor scheduling; Sun; System recovery;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.289
Filename
4668049
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