DocumentCode :
1570507
Title :
Branch genetic algorithm applied to the flexible job shop scheduling problem
Author :
Yang, Xiaomei ; Zeng, Jianchao
Author_Institution :
Div. of Syst. Simulation & Comput. Application, Taiyuan Heavy Machinery Inst., China
Volume :
4
fYear :
2004
Firstpage :
2850
Abstract :
According to the characteristic of flexible job shop scheduling problem, branch genetic algorithm is presented. In view of the branch code method, branch genetic operators are constructed to satisfy the restraint condition of the feasible scheduling. This algorithm not only can avoid the flaw of simple genetic algorithm, but also may indicate the descendants to develop new quality owning to acclimation. The computation results validate the effectiveness of the proposed algorithm.
Keywords :
genetic algorithms; job shop scheduling; branch code method; branch genetic algorithm; flexible job shop scheduling problem; Computational modeling; Computer applications; Computer simulation; Genetic algorithms; Job shop scheduling; Machinery; Processor scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
Type :
conf
DOI :
10.1109/WCICA.2004.1343034
Filename :
1343034
Link To Document :
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