Research on Multi-objective Optimization Algorithm and Path Planning in Logistics Engineering

This paper explores the potential and limitations of multi-objective optimization algorithm in solving complex logistics path planning problems, and provides scientific and efficient decision support for logistics enterprises. Firstly, this paper introduces the multi-objective of logistics distribution path planning, including minimizing transportation cost, minimizing transportation time and optimizing resource utilization, and establishes the corresponding mathematical model. Then, how to apply NSGA-II algorithm to solve the problem of logistics distribution path planning is expounded in detail, including the specific steps and core ideas of the algorithm. Through the case study of S logistics company, the application effect of multi-objective optimization algorithm in actual logistics distribution path planning is demonstrated. The results show that the optimized scheme has significantly improved in transportation cost, transportation time and vehicle load utilization rate, which verifies the effectiveness and feasibility of the algorithm. This study not only provides a new solution for logistics distribution path planning, but also provides theoretical basis and practical guidance for improving the overall performance of logistics system.