Multimodal Multi-Objective Green Location of Cold Chain Distribution Center

This article conducts an analysis and research on the location selection of cold chain logistics distribution centers under the low-carbon background and constructs a multimodal and multi-objective optimization model for distribution center location selection that comprehensively considers carbon emissions, time satisfaction, refrigeration costs, and cargo loss costs. Simulation experiments are designed to solve the model using the DN-NSGAII (Non-dominated Sorting Genetic Algorithm II) algorithm. This algorithm introduces niche tournament selection in the decision space to form a mating pool, and when generating the next generation of the population, it adopts a niche non-dominated sorting strategy in the decision space to retain more local optimal solutions. The results demonstrate that this multi-objective optimization model and the DN-NSGAII algorithm can effectively find multiple suitable location selection schemes, providing important references for subsequent personalized analysis and selection.