The tour vehicle scheduling optimization based on a multi-site tourism whose visitors moved in the scenic spots depend entirely on the internal transport system is researched.The characteristics of inner vehicle schedule are analyzed,which is compared with other questions.The research focuses on system modeling,and key operational rules based on some hypothesis and definition are found.Genetic algorithm is designed for finding satisfactory solutions to key rules in a deterministic system,and the availability of this algorithm is tested and verified by compared with several alternative plans in a detailed numerical example.%以具有多个分离景点并且游客在景点间移动完全依赖内部交通系统的风景区为背景,研究其内部车辆运行计划的优化编制.分析了内部交通车辆运行的特点,并与其他问题进行对比,重点完成系统建模,找到了若干假设和定义下的关键作业规则,基于遗传算法提出本作业规则优化选择算法,并通过引入算例对比多种备选方案,验证本算法的有效性.
展开▼
