Key Technologies for Implementing WebGIS System Based on ACO Algorithm
In order to further improve the effect of path planning in the space of complex scenes,a path planning algorithm is pro-posed based on the improved PSO-ACO algorithm and the introduction of multi factor terrain fitness.Among them,the improved PSO-ACO population fusion algorithm is used as the path planning algorithm,and the multi factor terrain fitness is introduced to optimize the algorithm twice to improve the overall path planning effect.The experimental results show that,compared with the improved PSO and ACO algorithms alone,the path planning algorithm in this study,which combines the improved population algorithm and the multi factor terrain fitness,has a more effective path planning.Under the path scale of 3 km,6 km,9 km,and 12 km,the number of turn-ing points is only 33,105,239,543,and the path length is only 3.25 km,6.33 km,10.26 km,and 13.44 km,which is significantly lower than the improved PSO and ACO algorithms;Compared with other path planning algorithms,this research algorithm can obtain the best path in complex scenarios while maintaining the smoothness of the path.The above results indicate that the path planning al-gorithm designed in this study has excellent path planning effects and can be applied to path planning in practical scenarios,with high feasibility and practical value.