Optimization of logistics distribution scheme based on improved artificial bee colony algorithm

In order to improve the efficiency and accuracy of logistics distribution, this study proposed a logistics distribution scheme optimization method based on improved artificial bee colony algorithm. This method improves the traditional artificial bee colony algorithm and introduces an adaptive search strategy to enhance the global search ability and convergence speed of the algorithm. In the optimization model of logistics distribution scheme, this study considers a variety of practical constraints, such as vehicle load limit, time window limit and customer demand diversity, so as to ensure the feasibility and practicability of the optimization scheme. The effectiveness and superiority of the proposed method are verified by the simulation experiment of practical application cases, which provides strong support for intelligent decision making in the field of logistics distribution.