[1]
Garey M R, Johnson D S, Sethi R. The complexity of floe shop and job shop scheduling[J]. Mathematics of operations research, 1976, 1(2): 117-129.
Google Scholar
[2]
Low C, Yeh J Y, Huang K I. A robust simulated annealing heuristic for flow shop scheduling problems[J]. International Journal of Advanced Manufacturing Technology, 2004, 23: 762-767.
DOI: 10.1007/s00170-003-1687-x
Google Scholar
[3]
Liu Yanfeng, Liu Sanyang. An Ant Colony Optimization for permutation flow shop scheduling[J]. Systems engineering and electronics, 2008, 30(9): 1690-1692.
DOI: 10.3724/sp.j.1087.2008.00302
Google Scholar
[4]
Liu B, Wang L, Jin Y H. An effective hybrid PSO-based algorithm for flow shop scheduling with limited buffers[J]. computers&operations research, 2008, 35(9): 2791-2806.
DOI: 10.1016/j.cor.2006.12.013
Google Scholar
[5]
Wang Ling, Liu bo. Particle swarm optimization and scheduling algorithm[M]. Beijing: Tsinghua University press, 2008: 115.
Google Scholar
[6]
Xinshe Yang. A new meta heuristic bat-inspired Algorithm [J], Nature Inspired Cooperative Strategies for Optimization (NICSO2010)(Eds. J. R. Gonzalez et al. ), SCI 284, 2010: 65-74.
DOI: 10.1007/978-3-642-12538-6_6
Google Scholar
[7]
Xinshe Yang. Bat algorithm for multi-objective optimization [J]. Bio-Inspired Computation, 2011, 3(5): 267-274.
Google Scholar
[8]
Tasgetiren M F, Liang G Y, Sevkli M, et al. A particle swarm optimization algorithm for make span and total flow time minimization in the permutation flow shop sequencing problem[J]. European Journal of operational research, 2007, 177: 1930-(1947).
DOI: 10.1016/j.ejor.2005.12.024
Google Scholar
[9]
Carlier J. Scheduling with disjunctive constraints[J]. Operation research, 1978, 12(4): 333-350.
Google Scholar