DocumentCode
2013445
Title
A modified continuous genetic algorithm and its application for job-shop scheduling
Author
Xijin, Guo ; Li, Gao
Author_Institution
Coll. of Inf. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
Volume
3
fYear
2002
fDate
2002
Firstpage
2270
Abstract
The continuous genetic algorithm has a risk for long staying on one stage before it gains the best solution. This paper presents the modified continuous genetic algorithm to overcome this disadvantage. This algorithm is applied to job-shop scheduling to test its validity. The test results show this algorithm is good at operation and convergence.
Keywords
convergence; genetic algorithms; production control; GA; job-shop scheduling; modified continuous genetic algorithm; Automation; Educational institutions; Genetic algorithms; Intelligent control; Scheduling algorithm; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1021493
Filename
1021493
Link To Document