Authors: Pisut Pongchairerks, Voratas Kachitvichyanukul
Addresses: Industrial Engineering Program, Sirindhorn International Institute of Technology, Thammasat University – Rangsit Campus, P.O. Box 22, Pathum Thani, 12121, Thailand. ' Industrial Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani, 12120, Thailand
Abstract: The paper first presents an efficient PSO algorithm called GLN-PSOc. It is a variant of the standard PSO algorithm that requires a mapping procedure in order to solve a specific problem. Two mapping procedures are proposed in this paper for GLN-PSOc. The first mapping combined with GLN-PSOc is a heuristics for JSP and is called JSP-PSO. The second mapping combined with GLN-PSOc resulted in a parameter-tuning algorithm called PT-PSO. The combination of these two algorithms JSP-PSO and PT-PSO forms a two-level PSO. It is efficient and able to generate very good solutions on the benchmark instances.
Keywords: PSO; particle swarm optimisation; job shop scheduling; makespan.
International Journal of Operational Research, 2009 Vol.4 No.4, pp.390 - 411
Available online: 27 Feb 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article