Research on Multi-path Vehicle Routing Problem under Low Carbon Constraints

Aiming at the increasingly severe environmental pressure faced by logistics enterprises, we study the low-carbon vehicle path optimization problem in a multi-pathway environment. The multi-pathway network model is quantitatively portrayed, and the fuel consumption is taken as the metric of vehicle carbon emission, and a mathematical model is constructed with the optimization objective of minimizing the vehicle fuel consumption cost. According to the characteristics of the problem model, an improved genetic algorithm is designed to solve the problem, and a three-stage optimization strategy is proposed to improve the search efficiency of the algorithm, and finally, the reasonableness of the model and the feasibility of the algorithm are verified through the arithmetic example experiment and comparative analysis.