It is a real problem that logistic cost is too high and it is also a difficulty facing the government and companies。 For those logistics companies on the front line of distribution industry, how to chose a proper distribution line seems to be even more important Based on the genetic algorithm, my thesis tries to make research on the arrangement of distribution line by applying two-stage heuristic algorithms as well as the machine language emulation technique。 There are two main tasks in the two stages of heuristic algorithms: How to know the position of the facility and the customer; and how to use the genetic algorithm to choose the best distribution line。
My thesis is aimed to discuss how to program these tow tasks in two-stage heuristic algorithms and at the same time input all kinds of data。 By doing this ,we are able to find the best distribution line and improve the efficiency of distribution allocation system and reduce logistic cost 。
