Evaluation on competitiveness of TPL enterprises based on AHP & genetic algorithm

Third party logistics is the advanced form of modern logistics for socialization and specialization. The evaluation optical selection of third-party logistics enterprises increasingly becomes the key points of the recycling economy and green environmental protection industry. Analytical hierarchy process (AHP), a commonly used quantitative research method, is the widely used evaluation indicator solution. The genetic algorithm which is one of the major technologies of intelligent calculation, with adaptively dynamic adjustment and global optimization capability, has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life. Based on the characteristics of the two methods, the paper designs a program making real-time feedback of information according to AHP, adopting genetic algorithm combined with AHP dynamic adjusting third party logistics enterprises competitiveness evaluation index weights, to further enhance the objectivity and efficiency of the system evaluation of third party logistics enterprises.