Cooperative Path Planning Algorithm of UAV in Urban Environment Based on Improved Pigeon Swarm Algorithm

UAV Formation Trajectory Planning Algorithms: A Review

“…Figure 15 shows a PIO map and compass operator model and a pigeon flock optimization (PIO) track chart. Wang et al [86] proposed a multi-UAV collaborative trajectory planning method based on the Cauchy mutant pigeon intelligent optimization algorithm (ECM-PIO); the algorithm uses the Cauchy mutation operator for optimization, expanding the search range and reducing the risk of falling into local optimization, which solves the shortcomings of the traditional pigeon swarm algorithm optimization process that has optimization bias and is easy to fall into local optimization.…”

“…Duan et al [85] proposed a dynamic discrete Pigeon-Inspired Optimization algorithm based on hybrid architecture ( 2 D PIO ), constructed and updated the probability mapping by using Bayesian formula, adopted the response threshold S-type function model (RTSM) for target allocation during attack execution, and finally used B-spline curve to generate feasible trajectory. The problem of search-attack task planning for multiple UAVs is solved.Wang et al[86] proposed a multi-UAV collaborative trajectory planning method based on the Cauchy mutant pigeon intelligent optimization algorithm (ECM-PIO); the algorithm uses the Cauchy mutation operator for optimization, expanding the search range and reducing the risk of falling into local optimization, which solves the shortcomings of the traditional pigeon swarm algorithm optimization process that has optimization bias and is easy to fall into local optimization.Yu et al[87] proposed a mutational pigeon swarm optimization algorithm (MGLPIO) based on swarm learning strategy, which introduces the swarm learning strat-…”