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
Link To Document :
بازگشت