UAV path planning using improved multiobjective ant colony system
Guangwen Li · Jisuanji yingyong yanjiu · 2009
Based on the VORONOI diagram,this paper calculated the path costs,and then used the multiobjective ant colony system(MACS) algorithm to solve the route planning problem of the UAVs taking the SEAD mission.Calculated and introduced the angles between path segments and the line segment joining the start point and the target point,as heuristic information,into the MACS algorithm to accelerate the searching speed.And also,this paper improved the expression of the heuristic information,which reduced the differences among the path segments,and enhanced the global searching ability of the algorithm.The simulation results show that:compared with the original MACS,the improved algorithm can find a better result more efficiently.