Analysis and Re-Optimizing Food Systems by Using Intelligent Optimization Algorithms and Machine Learning

This paper establishes a coordination evaluation index on diverse indicators of different food systems, analyzes the changes after modification, and predicts the analysis of equilibrium time and critical point. In this regard, we pre-processed the data by entropy method, variance contribution rate, and normalization.

Instead of single-element linear forecasting and economic income and expenditure models, we innovatively developed a multivariate evaluation system for population, cultivated land, and food systems in three major directions.