Transportation Economic Management Strategy of Cold Chain Transportation Industry Based on ABC-ACO Algorithm

The transportation industry is an important link in the national economic development. With the rapid development of my country's economy, cold chain transportation has become more and more important as a special form in the transportation industry. At present, domestic research on cold chain transportation is still insufficient, lacking effective and unified standards and scientific guiding ideology, and the development is very unbalanced. The purpose of this paper is to analyze the transportation economic management strategy of the cold chain transportation industry based on the ABC-ACO algorithm. Based on the detailed introduction of artificial bee colony algorithm and basic ant colony algorithm, an improved ABC-ACO algorithm is proposed, and the ant colony algorithm is improved by introducing the method of combining global search and local search of artificial bee colony. This paper takes the cold chain distribution of agricultural products between a single distribution center and a customer point as the research object, aiming to satisfy a certain degree of customer satisfaction and minimize the total distribution cost. Bi-objective vehicle routing optimization model under road network. The comparative analysis of ABC algorithm, ACO algorithm and ABC-ACO algorithm for solving the model shows that under the experimental conditions of this paper, the total distribution cost of the improved ABC algorithm is 289.68 yuan, the total cost is the lowest, and the customer satisfaction is 97.89%, the highest satisfaction. Therefore, the ABC-ACO algorithm reasonably plans the cold chain transportation and distribution path and reduces the cost of the enterprise.