DocumentCode
3167909
Title
Application research of flow shop scheduling optimum based on genetic algorithm
Author
He, FaJiang ; Wang, MingHong ; Wang, Yue
Author_Institution
Coll. of Mech. Eng., Shanghai Univ. of Eng. Sci., Shanghai, China
fYear
2010
fDate
29-30 Oct. 2010
Firstpage
335
Lastpage
338
Abstract
Flow shop scheduling optimum is an important research field in flow shop manufactures enterprise. A optimum method for parallel multi machines flow shop schedule based on genetic algorithm by hybridising and mutating operators is provided with minimum weighted absolute delay time, the optimum solution based on genetic algorithm is proved to be effective by actual example.
Keywords
flow shop scheduling; genetic algorithms; parallel machines; delay time; flow shop manufacture enterprise; flow shop scheduling; genetic algorithm; parallel multi machine; flow shop scheduling; genetic algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-6935-2
Type
conf
DOI
10.1109/ICAIE.2010.5641041
Filename
5641041
Link To Document