Abstract
According to the characteristics and requirements of urban vegetable logistics and distribution, the optimization model is established to achieve the minimum distribution cost of distribution center. The algorithm of artificial bee colony is improved, and the algorithm based on MATLAB software is designed to solve the model successfully. At the same time, combined with the actual case, the two algorithms are compared to verify the effectiveness of the improved artificial bee colony algorithm in the optimization of urban vegetable distribution path.
Highlights
City vegetable logistics is engaged in transportation, warehousing and other series of vegetable logistics activities within the city limits, it is one of the logistics, business flow and information flow, according to different customers on the delivery time and quantity of vegetables and other requirements, to provide personalized service for customers and distribution [1]
As the characteristics of the city itself, making the city vegetable logistics and distribution with a wide range of customers, the number of customer points, customer points between the distribution distance is relatively close to the characteristics of urban vegetable logistics and distribution generally use the car for distribution, because the special truck has the advantages of strong maneuverability, flexible response
Urban vegetable logistics distribution vehicle routing problem can be described as: there are a number of customers need the distribution center to deliver a certain amount of goods, the specific location of each customer point is known
Summary
City vegetable logistics is engaged in transportation, warehousing and other series of vegetable logistics activities within the city limits, it is one of the logistics, business flow and information flow, according to different customers on the delivery time and quantity of vegetables and other requirements, to provide personalized service for customers and distribution [1]. Urban vegetable logistics distribution vehicle routing problem can be described as: there are a number of customers need the distribution center to deliver a certain amount of goods, the specific location of each customer point is known. The distribution center with the delivery task has the same type of distribution vehicle, and the quantity meets the demand, all the delivery vehicles have the same carrying capacity of [4]. There are certain conditions in the distribution process constraints, each customer can only be a distribution vehicle responsible for the distribution of the task, the time of delivery of the goods within the time required by the customer, otherwise given the appropriate delivery vehicle must be punished [5] [6]. Using the improved artificial bee colony algorithm, using MATLAB software programming solution, combined with the case, to verify the feasibility and effectiveness of improving the artificial bee colony algorithm
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