Abstract
It is difficult to solve the inventory-routing problem, because it is a NP hard problem. To find the optimal solution with polynomial time is very difficult. Many scholars have studied it for many years to find a good solving method. This paper analyzed the inventory-routing optimization problem. Then considered PSO has a good performance in solving combinatorial optimization problems. The PSO was improved to make it be suitable for solving discrete combination optimization problems. In order to improve the performance of the PSO algorithm to solve the inventory routing problem, this paper put forward dynamic adjustment of inertia weight and accelerator factor of the PSO, and introduced mutation operator in PSO. It is proved by numerical experiments that the proposed algorithm has certain performance advantages, and it also proves that the improved algorithm can improve the performance of the algorithm.
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.