Location Optimization of Logistics Distribution Center based on Immune Algorithm——Take the First Division of Xinjiang Corps as an Example

Compared with traditional genetic algorithm,immune genetic algorithm is more comprehensive and reasonable in individual selection and evaluation.The immune optimization algorithm is applied to the location of logistics distribution center of forest and fruit industry,and the location model of immune algorithm is constructed.Taking alar city of the first division and Keping County and Wushi County in Aksu area with dense poverty population as sample points,the example is solved by using MATLAB 2015b under the given assumptions.It is concluded that Qingsong road street,ertuan and Wushi town are the distribution centers of 34 sample points,which verifies the effectiveness of the immune algorithm in site selection optimization.The research results are of great significance to optimize the layout of logistics nodes in poverty-stricken areas in southern Xinjiang and improve the logistics operation speed of forest and fruit industry.