Order Allocation Optimization and Genetic Algorithm in Logistics Service Supply Chain

Logistics service integrators usually charge a certain proportion of transaction costs from subcontractors according to the assigned order value, set the transaction costs as a linear function of the transaction amount, and constructed a new mixed integer programming model for order allocation optimization of logistics service supply chain. The optimization goal is to minimize the transaction costs, procurement costs, the quantity of logistics capacity of short service and delayed supply. It is a research on the practical teaching design of applied university mental health curriculum in the virtual simulation scene. The main purpose of this study is to explore how to improve teaching methods and technologies through the application of new technologies such as virtual reality (VR) technology, which has been widely used in the field of education, such as learning games and training projects. In addition, it aims to study whether VR can be used as an effective tool to improve students’ mental health during their study. Researchers believe that virtual reality will help us better understand human psychology and behavior, and better understand various psychological barriers.