DocumentCode
2916386
Title
Upper bounds on Taillard’s benchmark suite for the no-wait flowshop scheduling problem with makespan criterion
Author
Pan, Quan-ke ; Tasgetiren, Fatih ; Liang, Yun-Chia ; Suganthan, P.N.
Author_Institution
Coll. of Comput. Sci., Liaocheng Univ., Liaocheng
fYear
2008
fDate
1-6 June 2008
Firstpage
2955
Lastpage
2961
Abstract
In this paper, the discrete particle swarm optimization (DPSO) algorithm is employed to solve the no-wait flowshop scheduling problem with the makespan criterion for Taillardpsilas benchmark suite [1]. As known, there exist 31 benchmark instances provided by Carlier [2], Heller [3], and Revees [4] for the makespan criterion. However, these benchmarks are relatively small in size and easy to be solved even by a simple descent algorithm. Since there is a lack of a sound benchmark suite for the no-wait flowshop scheduling problem with the makespan criterion, the DPSO algorithm presented by the authors [5] is applied to the 110 benchmark instances of Taillard by treating them as the no-wait flowshop problem instances with the makespan criterion. The DPSO algorithm is hybridized with the variable neighborhood descent (VND) algorithm to further improve the solution quality. Ultimately, we carried out extensive runs and provide the upper bounds for the future researchers to test their algorithms.
Keywords
flow shop scheduling; particle swarm optimisation; Taillard´s benchmark suite; discrete particle swarm optimization algorithm; makespan criterion; no-wait flowshop scheduling problem; simple descent algorithm; variable neighborhood descent algorithm; Chemical industry; Engineering management; Heuristic algorithms; IEEE members; Job shop scheduling; Particle swarm optimization; Processor scheduling; Scheduling algorithm; Testing; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-1822-0
Electronic_ISBN
978-1-4244-1823-7
Type
conf
DOI
10.1109/CEC.2008.4631196
Filename
4631196
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