Abstract
Based on experimental analysis, it is known that physarum polycephalum shows a physiological bias towards the “important feeding channel A fusion algorithm named Physarum-Network ant colony optimization algorithm (PNACO) is proposed by combining the mechanisms with the original ant colony algorithm. The algorithm takes the advantages of ant colonies and slime molds on the update of the pheromone matrix, which increases the selection probability of the “optimal path” and improves the convergence speed and robustness. A multi-AGV path planning strategy based on the PNACO algorithm is proposed and a workshop logistics system is taken as an example to verify the feasibility and robustness of the strategy.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
