DocumentCode :
2544870
Title :
Hybrid particle swarm optimization algorithm for assembly line balancing problem-2
Author :
Lu Jian-sha ; Ling-Ling, Jiang ; Xiu-Lin, Li
Author_Institution :
Inst. of Ind. Eng., Zhejiang Univ. of Technol., Hangzhou, China
fYear :
2009
fDate :
21-23 Oct. 2009
Firstpage :
979
Lastpage :
983
Abstract :
This paper discussed the types of Assembly Line Balancing Problem and relevant algorithms, presented the mathematical description of Assembly Line Balancing Problem-2. Using PSO´s global search capability and high efficient of searching with SA´s local search capability, proposing a hybrid PSO algorithm for Assembly Line Balancing Problem-2 and giving out a solving procedure based on the analysis of standard PSO algorithm for Assembly Line Balancing Problem-2. The result of example shows that the proposed the hybrid PSO algorithm is more effective than standard PSO algorithm on Assembly Line Balancing Problem-2.
Keywords :
assembling; particle swarm optimisation; PSO algorithm; assembly line balancing problem-2; global search capability; hybrid particle swarm optimization algorithm; local search capability; Algorithm design and analysis; Assembly; Genetic algorithms; Heuristic algorithms; Industrial engineering; Manufacturing; Particle swarm optimization; Production; Simulated annealing; Workstations; Assembly Line Balancing Problem-2; Assembly line balancing; Simulated Annealing; hybrid Particle Swarm Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3671-2
Electronic_ISBN :
978-1-4244-3672-9
Type :
conf
DOI :
10.1109/ICIEEM.2009.5344217
Filename :
5344217
Link To Document :
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