At last, validate the effectiveness of the algorithm by simulation of the Path Planning algorithm base on Behavior and Particle Swarm Optimization in MATLAB.
最后，通过对基于行为学和微粒群算法的路径规划方法的MATLAB仿真，验证了本文算法的有效性。
Realize optimization of operating flow through planning and design of logistics scheme, logistics path and transportation mode, combining logistics management system and using KPI evaluation.
通过物流方案、物流路径、运输模式的规划与设计、结合物流管理系统、并使用KPI评估，从而达到运营流程最优化。
Realize optimization of operating flow through planning and design of logistics scheme, logistics path and transportation mode, combining logistics management system and using KPI evaluation.
通过物流方案、物流路径、运输模式的规划与设计、结合物流管理系统、并使用KPI评估，从而达到运营流程最优化。
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