Affiliations: [a] Maritime College, Guangdong Ocean University, Zhanjiang, Guangdong 524088, China | [b] College of Business, Jiaxing University, Jiaxing, Zhejiang 314001, China
Correspondence:
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Corresponding author: Xiaobo Sun, College of Business, Jiaxing University, Jiaxing, Zhejiang 314001, China. E-mail: [email protected].
Abstract: With the rapid development of the logistics industry, the demand of customer become higher and higher. The timeliness of distribution becomes one of the important factors that directly affect the profit and customer satisfaction of the enterprise. If the distribution route is planned rationally, the cost can be greatly reduced and the customer satisfaction can be improved. Aiming at the routing problem of A company’s vehicle distribution link, we establish mathematical models based on theory and practice. According to the characteristics of the model, genetic algorithm is selected as the algorithm of path optimization. At the same time, we simulate the actual situation of a company, and use genetic algorithm to plan the calculus. By contrast, the genetic algorithm suitable for solving complex optimization problems, the practicability of genetic algorithm in this design is highlighted. It solves the problem of unreasonable transportation of A company, so as to get faster efficiency and lower cost.
Keywords: Genetic algorithm, optimization, soft time windows
