Research on Planting Optimization Based on Simulated Annealing Algorithm and Bi-Objective Planning Model

The purpose of this paper is to explore the crop planting scheme based on simulated annealing algorithm and bi-objective planning model, which is analyzed using various methods such as dynamic planning, fuzzy comprehensive evaluation and least squares. The study first establishes a planting area division model and visualizes the profitability expectations of different crops. Subsequently, based on the uncertainty factors and potential risks, the yield evaluation index system was established and the fuzzy comprehensive evaluation model was used to predict the future yield. On this basis, the constraints of the original planning model were modified, a new dual-objective planning model was constructed, and the crop planting scheme was optimized by simulated annealing algorithm. In addition, the economic relationships among crops were quantitatively analyzed using single factor analysis and Spearman's correlation coefficient, and the relationships among economic indicators were further explored.