Reflected PSO for Robot Path Planning

摘要

In this paper, we introduce an enhanced Particle Swarm Optimization using reflection strategy called Reflected Particle Swarm Optimization (RPSO) algorithm, RPSO designed to enhance robot path planning in complex environments such as static environment with obstacles. The integration aims to improve the exploration and exploitation capabilities of the search process. RPSO has been compared with state-of-art and well-known optimization algorithms. The results demonstrate that RPSO consistently outperforms the compared algorithms in finding the shortest paths and maintaining high levels of consistency across different trials. Furthermore, the results show that RPSO, with its innovative reflection mechanism, offers a significant advancement in robot path planning.