基于改进蚁群算法的农业运输车辆路径优化研究

针对农产品在运输过程中运输时间长易变质等问题,合理规划果蔬运输车辆的配送路径。在基本蚁群算法的基础上,提出适合求解路径规划的改进型算法,同时提出了自适应调整的方案,提高跳出局部优解的能力以及算法的全局收敛性。仿真试验结果验证了改进型算法的可行性和高效性,从而达到运输车辆路径优化的目的,为提高农产品的运输效率、降低成本、提高收益提供了理论依据。

Research on Path Optimization of Agricultural Transport Vehicles Based on Improved Ant Colony Algorithm

In view of the problems of agricultural products in transportation, such as long time and easy to go bad, the distribution path of fruit and vegetable transport vehicles is reasonably planned.Based on the basic ant colony algorithm, an improved algorithm is proposed, which is suitable for solving path planning .The adaptive scheme is proposed to improve the ability of avoiding local optimal solution and the global conver-gence of the algorithm.The simulation results show that the improved algorithm is feasible and efficient .It can achieve the purpose of optimizing the route of transport vehicles, and provide theoretical basis for improving the efficiency of agricultural products transportation, reducing costs and improving income.