Bi-level programming model and cloud genetic algorithm for logistics service supplier selection
物流服务供应商选择的双层规划模型及云遗传算法*

In the logistics service supply chain system, designed a bi-level programming model for the functional logistics service supplier selection problem. The upper-level objective function determined the total outsourcing service costs belonged integrated logistics service supplier should be minimized, the lower-level objective function was to maximize customer service satisfaction. In the lower-level, proposed customer service satisfaction index model, and then obtained customer service satisfaction index by empowering each explicit indicator in the model using entropy method. Finally, combined with the model features, designed a cloud-based adaptive genetic algorithm, and validated the reasonability of the model with algorithm through an example.