关键词: 多式联运, 小批量订单, 拼箱海运, 遗传算法

Abstract: Considering the characteristic of Less-than-Container Load（LCL）shipping for small-batch orders overseas in manufacturing enterprises,the optimization of multimodal transport solutions for such orders was addressed.The mathematical model accounting for nodes including river,dry and sea ports was built by taking minimum total costs as object,and an improved adaptive genetic algorithm with an elite harmony strategy was designed.The proposed algorithm was first compared with Gurobi to validate its effectiveness.Then,it was compared with Stud GA,SGA and PSO algorithms,demonstrating superior performance in terms of solution quality,stability and time.An ablation study further analyzed the effects of the improvement strategies.Finally,a case study of a home appliance manufacturing enterprise verified the optimization effectiveness of the proposed method in real-world scenarios.

Key words: multi-modal transport, small-batch orders, less-than-container load, genetic algorithms