Some Research on Non-identical Parallel Machine Scheduling Problem - An example to plane de-icing operation
Under the context of deicing in the airport, and in order to solve a kind of Non-identical Parallel Multi-machine Schedule Problem for minimizing the number of passengers delayed, an ant colony algorithm was proposed. Considering the characteristic of scheduling model and its constraints, an improved pheromone update strategy was developed by deploying different parameters. Simulation was made for proving the effectiveness of the algorithm, and the sensitivity analysis was conducted. Besides, the improved ant colony algorithm was compared further with FIFO algorithm used in realistic backgrounds. In all, the result indicated that the improving ant colony algorithm was valid, and it can fit for largescale non-identical parallel Multi-machine scheduling problem.
parallel machine scheduling aircraft deicing ant colony algorithm non-identical
Bing Li Guisong Jiang Dan Su Xinyue Fu
University of International Business and Economics, Beijing, China
国际会议
大连
英文
138-143
2011-10-19（万方平台首次上网日期，不代表论文的发表时间）