Partition mutation PSO for welding robot path optimization

Abstract

Many solder joints usually have to be traversed for spot welding robots, and reasonable welding sequence will improve welding efficiency. Intelligent optimization algorithms have been used to study path optimization problems in these years because of their effective optimization abilities. Due to its simplicity, high search accuracy and fast convergence rate, the particle swarm optimization (PSO) algorithm was used to study welding robot path planning. A novel hybrid discrete PSO algorithm was proposed to improve the basic PSO after the partition operation, mutation strategy were combined. Then, the optimization performance of the algorithm was used to solve 3-dimensional welding path planning problem.