Logistics Cost Model Based On Genetic Algorithm Research

Logistics is a concept rising up in recent years in China although people are very familiar with its basic activities. In addition to material resource and labor force, modern logistics is the third profit source which is coordinate with the flow of energy and information. With the rapid development of E-commerce, logistics delivery encounters great challenges as well as opportunities. At Present, as the thorough study of logistics is deepening, the optimization of logistics system becoming the central issue.As an uncertain stochastic optimal algorithm, GA is applied in kinds of fields in the past 20 years. And because of its independence, global optimization and implicit parallelism, GA is developed and applied by more and more people. In this paper, GA is applied to solve optimization problem of logistics cost. I have made some research in the following aspects:First, We introduces the current situation of logistics decision, the current problems and resolvent.In the second chapter, the basic concepts and theory of genetic algorithms are introduced first and then the design of genetic algorithm has been discussed, some classical strategies used by genetic algorithm to solve nonlinear programming Model will be shown in this chapter as well.In the third chapter, Based on the synthetic analysis of logistic cost, a multi-objective optimizing model of logistic cost is established to provide a decision-making method for logistic enterprise to achieve its optimum management of goods stream process.In the fourth chapter, We also propose some methods to optimize the parameters of the hybrid genetic algorithm, when used these ways in hybrid genetic algorithm(GA+Simplex), the results we got are much better than before.Chapter 5 is the conclusion in which it gives summarization and vista of our research.