The Application Research Of Genetic Algorithm In The Logistics System

Logistics, as a comprehensive industry in the end of the 20th century, is becoming more and more important in the development of national economy and in the rising of managing level of enterprise management. To make logistics perform full function, and to make it perfect and optimized constantly, it is necessary to make logistics rationalized. Logistics systematization is the key to make logistics rationalized, so logistics must take the road to systematization. Therefore, enterprises must strengthen the construction and application of logistics system in order to improve their synthesized competitiveness.When analyzing logistics system, some difficulty systems must take mathematic analytical method as mid-means to solve these problems in the way of model trial. It is generally accepted that model is a description of actual models, that there may be various modeling in logistics system. Take genetic algorithm to solve and optimize in benefit or function optimization and evaluation analyzing of system or subsystem. Genetic algorithm is a random search and optimization method based on natural selection and genetic mechanism of the living beings. The combination of genetic algorithm and logistics system has good practicability and extensive application prospect. This paper introduces the characteristics and basic principle of genetic algorithm, as well as its prospect, and expounds the primary content of the logistics and the related problem of the logistics system. The paper studies the application method of genetic algorithm for modern logistics system in the location problem, the delivery problem and the transportation problem, etc. The three application examples show that the method is more valid and suitable to solve some problems for modern logistics system.