DocumentCode
624102
Title
Application of Node Based Coincidence algorithm for flow shop scheduling problems
Author
Srimongkolkul, Ornrumpha ; Chongstitvatana, Prabhas
Author_Institution
Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok, Thailand
fYear
2013
fDate
29-31 May 2013
Firstpage
49
Lastpage
52
Abstract
This work proposes an algorithm called Node Based Coincidence algorithm (NB-COIN) focusing on total flowtime minimization in the permutation flowshop scheduling problems. Many algorithms have been proved to be effective for this problem. However, in the real situation, cost of computation becomes an important factor. NB-COIN produces reasonable solutions using a lot less computation power than other algorithms in consideration. Compared to a number of wellknown algorithms, the results show that NB-COIN is an effective algorithm which generates less than 1.7% different from recently best known solutions from Taillard´s benchmark instances.
Keywords
distributed algorithms; flow shop scheduling; NB-COIN; Taillard benchmark instance; flowtime minimization; node based coincidence algorithm; permutation flow shop scheduling; Estimation; Job shop scheduling; Joints; Processor scheduling; Sociology; Statistics; Coincidence Algorithm; Estimation of Distribution Algorithms; permutation flowshop scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering (JCSSE), 2013 10th International Joint Conference on
Conference_Location
Maha Sarakham
Print_ISBN
978-1-4799-0805-9
Type
conf
DOI
10.1109/JCSSE.2013.6567318
Filename
6567318
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