SONG Chun-yue
,
HU Kai-lin
,
LI Ping
钢铁研究学报(英文版)
A new scheduling model for the bulk ore blending process in iron-making industry is presented, by converting the process into an assembly flow shop scheduling problem with sequence-depended setup time and limited intermediate buffer, and it facilitates the scheduling optimization for this process. To find out the optimal solution of the scheduling problem, an improved genetic algorithm hybridized with problem knowledge-based heuristics is also proposed, which provides high-quality initial solutions and fast searching speed. The efficiency of the algorithm is verified by the computational experiments.
关键词:
bulk ore blending
,
assembly flow shop
,
sequence-depended setup time
,
limited intermediate buffer
,
genetic algorithm
