Research on the dynamic target distribution path planning in logistics system based on improved artificial potential field method-fish swarm algorithm
Tingbin Chen, Peng Zhang, Gao Shuang, Qisong Zhang · 2018
Aiming at the problem of dynamic target path planning for delivery vehicles in logistics system, an improved artificial potential field-fish swarm algorithm is proposed. The algorithm is used to meet the requirements of real-time changes in the known obstacle environment, considering all the influencing factors, to minimize the total cost of distribution and find the optimal path. The simulation results show that the algorithm is effective in the logistics system. Secondly, compared with the simple improved artificial potential field method, the experiment proves that the algorithm is obviously improved for the fuel consumption and distribution distance of the distribution vehicle. It proves the efficiency of the algorithm.