Manipulator Path Planning Based on Improved Hybrid Algorithm
The Hybrid algorithm improved algorithm optimizes the distribution the initial information concentration of the ant colony algorithm under the condition that the global information is known.Inducing the ant colony to search for the path in the direction in which the final path from the start point to the end point exists.After selecting excellent individuals,they will undergo changes and mutations to change certain genes on the individual to form new individuals which can improve the quality of the solution.It improved method shortens the time that required for the algorithm to search early and speeds up the convergence of the algorithm.The aspect in combination with intelligent algorithms,this paper combines genetic algorithm and ant colony algorithm.It improves the search ability of the algorithm,so as to improve the problem of the algorithm in the local optimum.
Ant Colony Algorithm Genetic Algorithm Artificial Potential Field Path Planning
Cheng Liao Shuang Xu Zhengyuan Xia
Key Laboratory of Metallurgical Equipment and Control Technology,Ministy of Education,Wuhan Universi Hubei Key Laboratory of Metallurgical Transmission and Manufacturing Engineer,Wuhan University of Sc
国际会议
太原
英文
169-173
2019-06-29（万方平台首次上网日期，不代表论文的发表时间）