Research on optimization of food system based on multi-objective programming

Abstract

Using Principal Component Analysis (PCA), 9 indicators with large influence degree were selected, which consist of the basis for two-level fuzzy comprehensive evaluation model and multi-objective optimization model. Model one is to establish a secondary fuzzy comprehensive evaluation model. Model two is to build a multi-objective Food System Optimization Model. Results show that the optimization of sustainability in the United States made the food system more stable, and the optimization of fairness in Brazil was more conducive to the improvement of the food system.