[4] TIAN L J, ZHANG Z Z, ZHENG C, et al.An improved rapidly exploring random trees algorithm combining parent point priority determination strategy and real-time optimization strategy for path planning[J].Sensors, 2021, 21(20):6907.
[5] HIRAKAWA T, YAMASHITA T, FUJIYOSHI H.Scene context-aware rapidly-exploring random trees for global path planning[C]//IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).Kyoto:IEEE, 2019:608-613.
[6] MA L, ZHANG H T, MENG S J, et al.Volcanic ash region path planning based on improved A-star algorithm[J].Journal of Advanced Transportation, 2022, 2022:9938975.
[7] ZHANG L, LI Y.Mobile robot path planning algorithm based on improved A star[J].Journal of Physics:Conference Series, 2021, 1848:012013.
[8] CHI W Z, DING Z Y, WANG J K, et al.A generalized voronoi diagram-based efficient heuristic path planning method for RRTs in mobile robots[J].IEEE Transactions on Industrial Electronics, 2022, 69(5):4926-4937.
[9] AYAWLI B B K, APPIAH A Y, NTI I K, et al.Path planning for mobile robots using morphological dilation Voronoi diagram roadmap algorithm[J].Scientific African, 2021, 12:e00745.
[10] PEHLIVANOGLU Y V, PEHLIVANOGLU P.An enhanced genetic algorithm for path planning of autonomous UAV in target coverage problems[J].Applied Soft Computing, 2021, 112:107796.
[11] LUAN P G, THINH N T.Hybrid genetic algorithm based smooth global-path planning for a mobile robot[J].Mechanics Based Design of Structures and Machines, 2023, 51(3):1758-1774.
[12] SONG B Y, WANG Z D, ZOU L.An improved PSO algorithm for smooth path planning of mobile robots using continuous high-degree Bezier curve[J].Applied Soft Computing, 2021, 100:106960.
[13] ZHAO H C, ZHAO J Z.Improved ant colony algorithm for path planning of fixed wing unmanned aerial vehicle[J].MATEC Web of Conferences, 2022, 355:03002.
[14] WANG R.Research on robot path planning based on improved ant colony algorithm under computer background[J].Journal of Physics:Conference Series, 2021, 1992:032050.
[15] ZHANG Y, GUAN G L, PU X C.The robot path planning based on improved artificial fish swarm algorithm[J].Mathematical Problems in Engineering, 2016, 2016:3297585.
[16] LI F F, DU Y, JIA K J.Path planning and smoothing of mobile robot based on improved artificial fish swarm algorithm[J].Scientific Reports, 2022, 12:659.