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
Link To Document :
بازگشت