Robot Path Planning Using Improved Artificial Bee Colony Algorithm

By analyzing the research status of artificial bee colony algorithm and robot path planning, an improved artificial bee colony algorithm is proposed in this paper. Firstly, this paper elaborates the robot movement map environment modeling. Secondly, the robot path planning problem is transformed into a mathematical modeling problem, and the robot path planning is mathematically modeled. Thirdly, through the analysis of the robot planning of the traditional artificial bee colony algorithm, the concept of physical strength of bees was introduced. Fourthly, an improved artificial bee colony algorithm based on bee physical strength was proposed to accelerate the algorithm convergence and find the global optimal path. Finally, the artificial bee colony algorithm based on bee physical strength was simulated in the robot path planning method. By comparing the results of the two algorithms in path planning, the feasibility and effectiveness of algorithm proposed by the paper are verified.