DocumentCode
518699
Title
No-wait flow shop scheduling based on artificial immune system
Author
Zhao, Xiaojuan ; Tang, Jun
Author_Institution
Dept. of Inf. Eng., Hunan Urban Constr. Coll., Xiangtan, China
Volume
3
fYear
2010
fDate
27-29 March 2010
Firstpage
436
Lastpage
440
Abstract
M-machine no-wait flow shop (NWFSS) problem is a NP-complete problem, and a novel approach to solve this type problem is presented in this paper. A continuous flow shop problem with total flow time as criterion is considered. This paper extends the artificial immune system (AIS) approach by proposing a new methodology termed as Psycho-Clonal algorithm. Proposed algorithm enjoys the flavours of AIS and Maslow´s need hierarchy theory to evolve a Meta heuristic. Numerical simulation with small and large number of jobs with respect to error percentage is reported. The results obtained are compared with the other existing approaches. Numerical simulation has revealed that results obtained using proposed algorithm have significant improvement over others.
Keywords
artificial immune systems; computational complexity; flow shop scheduling; NP-complete problem; artificial immune system; no-wait flow shop scheduling; psycho-clonal algorithm; total flow time criterion; Artificial immune systems; Biological systems; Educational institutions; Humans; Immune system; Job shop scheduling; NP-complete problem; Numerical simulation; Psychology; Scheduling algorithm; Artificial immune system; Flow shop scheduling; No-wait; Psycho-Clonal algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4244-5845-5
Type
conf
DOI
10.1109/ICACC.2010.5486821
Filename
5486821
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