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
Link To Document :
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