Hybrid Global Optimum Beetle Antennae Search - Genetic Algorithm Based Welding Robot Path Planning

Abstract

This paper, the welding task of the body-in-white spot welding robot is coordinated, and the welding path optimization algorithm is studied to effectively improve the welding efficiency. The genetic algorithm (GA) is added to each iteration of the Beetle Antennae Search algorithm (BAS), and the advantage of fast convergence of the BAS is used to accelerate the convergence speed of the GA. The mutation mechanism of GA helps BAS solve local optimal situations. Therefore, a hybrid algorithm (BAS-GA) having the advantages of BAS and GA is formed. Then, the Three dimensional welding path planning problem is solved with BAS-GA. In addition, we carried out simulation experiments in the PLM simulation system, and verified the path optimization ability through the test, indicating that BAS-GA has good practicability in the optimization of welding robot path.