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
Link To Document :
بازگشت