Abstract
For current intelligent path optimization method, when the intelligent optimization algorithm searches for the optimal solution, it cannot simultaneously take into account the defects of global and local search capabilities. This paper takes advantage of the parallelism of membranes structure and the advantages of information interaction within the membrane, nested cell membrane structure, firefly algorithm and bee colony algorithm are used as intra-membrane optimization rules, present a hybrid intelligent optimization method based on cell membrane structure, and apply it to route planning optimization. The results show that the proposed algorithm can accurately find the optimal path planning scenarios, and the algorithm can balances local and global search capabilities.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.