THE ROBOT PATH OPTIMIZATION OF IMPROVED ARTIFICIAL FISH-SWARM ALGORITHM
Jiansheng Peng1, 2
1National Key Laboratory of Communication, UEST of China Chengdu 610054, China
2Department of Physics and Mechanical & Electronic Engineering, Hechi University, Yizhou 546300, China
The robot path optimization solution is seek a collisionless path from starting point to end point to make the robot get the shortest route go along with planning path. Let robot path optimization problem map to mathematical model TSP (Traveling Salesman Problem) to resolve it, and make the corresponding algorithm realize robot path planning optimization was introduced in this paper. According to existent insufficiency of traditional artificial fish-swarm algorithm, using improved artificial fish-swarm algorithm optimizes the robot path planning, and stands out the superiority of improved artificial fish-swarm algorithm. The main improved aspect of artificial fish-swarm algorithm is increases examine link in foraging behaviour.