Crop Planting Optimization Based on Random Number Method and Mixed Integer Planning Model

The purpose of this paper is to explore the optimization strategy of crop cultivation through random number method and mixed integer planning model. Firstly, taking North China as the research object, the relevant data in 2023 are statistically analyzed to describe the returns in terms of various economic indicators, establish a linear programming model and solve the optimal planting scheme for different stagnant situations in the subsequent years by 01 programming method. Secondly, considering the fluctuation of economic indicators of different crops in the coming years, the linear relationship was analyzed by random number method to further optimize the planting decision. Finally, by analyzing the substitutability and complementarity between crops, a correlation model is established to explore the economic potential brought by different crop combinations. The research in this paper can not only provide scientific decision-making basis for crop planting, but also provide theoretical and practical guidance for crop planting program optimization.