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