摘要
集装箱堆场起重机(场桥)优化调度是在确定场桥配置数量的基础上,对场桥进行任务分派,使得场桥的行走时间最短。通过动态地调整信息素更新方式、限制信息表的范围来克服蚁群算法容易停滞的缺点。利用改进的蚁群算法对场桥的任务调度问题进行了探讨,并实现了求解。仿真结果表明,蚁群算法求解场桥调度问题时,得到了较好的结果,提高了场桥的工作效率。
The scheduling in container yards is a key step for container terminal.The pheromone is updated dynamically and restricted to averting precocity and stagnation in ant colon algorithm.It is required that some cranes should cooperate with other resources to finish the work of container yard.The application of a modified ant colony optimization here yields exact solutions,that is,the algorithm can construct solutions for crane scheduling efficiently and reduce some of the terminal cost.It is also instructive to study port logistics in the future.
出处
《控制工程》
CSCD
北大核心
2009年第S2期135-138,共4页
Control Engineering of China
基金
上海市教委科研创新重点基金资助项目(08ZZ78)
上海市教委重点学科建设基金资助项目(J50602)
关键词
集装箱堆场
起重机
调度
蚁群算法
container yards
crane
scheduling
ant colony algorithm
