A fast hybrid particle swarm optimization algorithm for flow shop sequence dependent group scheduling problem

Scientia Iranica - Tập 18 - Trang 759-764 - 2011
D. Hajinejad1, N. Salmasi2, R. Mokhtari1
1Department of Mathematical Sciences, Isfahan University of Technology, Isfahan, P.O. Box 84156-83111, Iran
2Department of Industrial Engineering, Sharif University of Technology, Tehran, P.O. Box 11365-11155, Iran

Tài liệu tham khảo

Schaller, 2000, Scheduling a flow line manufacturing cell with sequence dependent family setup time, European Journal of Operational Research, 125, 324, 10.1016/S0377-2217(99)00387-2

Hendizadeh, 2008, Meta-heuristics for scheduling a flow shop manufacturing cell with sequence dependent family setup times, International Journal of Production Economics, 111, 593, 10.1016/j.ijpe.2007.02.031

Lin, 2009, Using simulated annealing to schedule a flowshop manufacturing cell with sequence-dependent family setup times, International Journal of Production Research, 47, 3205, 10.1080/00207540701813210

Lian, 2006, A similar particle swarm optimization for permutation flow shop scheduling to minimize makespan, Applied Mathematics and Computation, 175, 773, 10.1016/j.amc.2005.07.042

Lian, 2008, A novel particle swarm optimization algorithm for per-mutation flow shop scheduling to minimize makespan, Chaos, Solutions and Fractals, 35, 851, 10.1016/j.chaos.2006.05.082

Pinedo, 2008

Kuo, 2009, An effective flow shop scheduling algorithm based on a hybrid particle swarm optimization model, Expert Systems with Application, 36, 7027, 10.1016/j.eswa.2008.08.054