Multi-level logistics supply chain transportation scheduling method based on improved fruit fly algorithm

This paper proposes a logistics multi-level supply chain transportation scheduling method based on an improved fruit fly algorithm to address the problems of high transportation costs and low transportation efficiency in logistics multi-level supply chain transportation scheduling methods. Firstly, clarify the research scope and objectives by setting objective functions and constraints. Secondly, information exchange, mutation strategy, and probabilistic flight strategy were introduced to improve the fruit fly algorithm. Finally, based on the set algorithm parameters, use the improved Drosophila algorithm to evaluate the fitness of various logistics transportation plans and output the optimal results. After experimental verification, the total transportation time of the logistics transportation plan designed in this paper is 854 min, with 8 dispatched vehicles and a corresponding fuel cost of 2140.31 yuan. This method can effectively reduce transportation costs, improve logistics transportation efficiency, and has certain practical application value.