Manipulator Path Planning Based on Improved Hybrid Algorithm
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Cheng Liao, Shuang Xu, and Zhengyuan Xi
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.
Ant Colony Algorithm, Genetic Algorithm, Artificial Potential Field, Path Planning