Research on Distribution Center Location Based on IGA and Decisions under Electronic Commerce

There are many traditional methods solving logistic distribution problem. However, these methods meet with various problems under electronic commerce in varying degree. Therefore, this paper modifies alternative expenses and time-restricting conditions of location model according to the specific feature of model under electronics commerce. Because location model is a NP question, the result can be gotten through heuristic algorithm. Namely, the model can be divided into the feasible sub-question using the filtering condition in first phase. In second phase, because the feasible sub-question can be considered the flexible expenses are imbedded in the objective function of transportation model, improved genetic algorithm can get the satisfied result. Therefore, the study proposes the improved genetic algorithm, which using individual amount control selection game in order to guarantee group diversity, using order cross operator and partial route overturn mutation operator to improve convergent speed of algorithm so as to better solve the inconsistency between diversity and convergent speed. Thus it´s difficult to consider all the factors during the course of establishing location model. And it is also difficult to quantify the restricting condition in model. Therefore, it is very necessary to consult the experts´ opinions and advices and do some qualitative decisions. Consequently, this study proposes the method combining improved quantitative genetic algorithm and qualitative comprehensive evaluation method and confirms the distribution center location under electronic commerce. Confirm the project aims at realizing scientific decision. According to the result of quantitative calculation and qualitative analysis, this study adopts harmonious analysis method in order to logically make decision of the optimized location project according with electronic commerce and proves the algorithm validity in terms of concrete application examples.