Path Planning of Quad-rotor
LI Yi
WANG Zhen
JIANG Peng
YANG Zhiyong
KANG Yuhang
Abstract：Under the premise of local map known ,a variety of existing genetic algorithm has been modified .This paper proposes an improved genetic algorithm to carry out four‐rotor UAV route planning .Traditional genetic algorithm converges slowly and is easy to fall into local optimal solution or “premature” phenomenon .In this paper ,crossover probability and mutation probability has been adjusted adaptively ,adaptive dynamic calibration function is also carried out .The experimental results show the algorithm's feasibility and reliability .
Keywords：quad-rotoradaptive functioncrossover probabilitymutation probabilitypath planning
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 58-61 )