摘要
采用基于最小偏差法的遗传算法对迅隆公司船队航班安排模型进行优化,并与采用蚁群算法优化的结果进行对比,从优化结果可以看出:基于最小偏差法的遗传算法优化结果优于原方案及蚁群算法优化方案,因此在多目标优化过程中,采用合理的决策方法能得到更好的优化方案。
The genetic algorithm based on the minimum deviation method is used to optimize the fleet arrangement model in Xunlong Company,and compared with the optimization results of ant colony algorithm,which showes that the optimization results of genetic algorithm based on the minimum deviation method are better than those of original algorithm and the ant colony optimization algorithm.A better optimization scheme can be obtained by a reasonable decision method in the process of multi objective optimization.
作者
林辉
陈顺怀
LIN Hui;CHEN Shunhuai(School of Transportation,Wuhan University of Technology,Wuhan 430063,Hubei,China;Key Laboratory of High Performance Ship Technology,Wuhan University of Technology,Wuhan 430063,Hubei,China)
关键词
MATLAB
船舶调度
遗传算法
多目标
最小偏差法
整数规划
MATLAB
ship dispatch
genetic algorithm
multi object
minimum deviation method
integer programming
