Traffic sequence optimization method for trailer automated guided vehicle system
To address the shortcomings of Automated Guided Vehicle System(AGVS)that cannot optimize intersec-tion traffic sequences and increase the risk of traffic congestion and task delay,a trailer AGVS traffic sequence opti-mization method based on an Improved Multi-Objective Whale Optimization Algorithm(IMWOA)was pro-posed.According to the distribution process of vehicle assembly accessories and the operational characteristics of trailer AGV,a mathematical model for optimizing the traffic sequence of AGV at intersections was established with the comprehensive optimization objectives of maximizing the remaining time of the most urgent task and minimizing the number of blocked paths.To overcome the shortcomings of slow convergence speed and weak global optimization ability of traditional whale optimization algorithms,a neighborhood search strategy was adopted to accelerate the convergence speed of the algorithm,and a non-dominated sorting mechanism with elite retention strategy was adopt-ed to maintain population diversity and enhance the algorithm's global optimization ability.An IMWOA suitable for solving the traffic sequence optimization mathematical model was designed.Finally,a trailer AGVS traffic manage-ment simulation analysis platform was developed to validate the proposed method.Simulation results showed that the proposed IWOA had better global optimization ability by comparing with algorithms such as NSGA-Ⅱ,tabu search and traditional whale optimization algorithm,and could achieve higher assembly line productivity with lower task execution time.
万方数据
维普
