[2] [2] AJEIL F H, IBRAHEEM I K, AZAR A T, et al.Grid-based mobile robot path planning using aging-based ant colony optimization algorithm in static and dynamic environments［J］.Sensors, 2020, 20(7):1880.

[9] [9] DORIGO M.Optimization, learning and natural algorithms［D］.Milano:Politecnico di Milano, 1992.

[10] [10] TAO Y, GAO H, REN F, et al.A mobile service robot global path planning method based on ant colony optimization and fuzzy control［J］.Applied Sciences, 2021, 11(8):3605.

[11] [11] TIAN X, LIU L, LIU S, et al.Path planning of mobile robot based on improved ant colony algorithm for logistics［J］.Mathematical Biosciences and Engineering, 2021, 18(4):3034-3045.

[12] [12] LI W, XIA L, HUANG Y, et al.An ant colony optimization algorithm with adaptive greedy strategy to optimize path problems［J］.Journal of Ambient Intelligence and Humanized Computing, 2021, 13:1557-1571.

[14] [14] AKKA K, KHABER F.Mobile robot path planning using an improved ant colony optimization［J］.International Journal of Advanced Robotic Systems, 2018, 15(3):1-7.

[15] [15] SHI Y H.An optimization algorithm based on brainstorming process［J］.International Journal of Swarm Intelligence Research, 2011, 2(4):35-62.

[16] [16] LU Z L, DOSHER B A.External noise distinguishes attention mechanisms［J］.Vision Research, 1998, 38(9):1183-1198.