摘要
以压缩车辆在编组站停留时间为目标 ,建立日班计划编制问题的最优控制模型 .结合人工智能中的启发式搜索方法 ,提出用带有有限前瞻思想的自顶向下的启发式搜索过程来求解最优控制模型的满意解的方法 .以便为日班计划的计算机编制提供一个优化决策基础 .
In order to cut down cars' staying-time at Marshalling Station, an optimal control model for the daily-shift plan was developed. And the satisfied solution of the daily-shift plan has been obtained by using heuristic search in AI which provides a top-down procedure heuristic search with limited looking-forward method by computer.
出处
《兰州铁道学院学报》
2000年第4期105-109,共5页
Journal of Lanzhou Railway University
关键词
日班计划
最优控制
启发式探索
编组站自动化
铁路
daily-shift plan
optimal control
heuristic search
automatic marshalling station
