Food System Driven by Obstacle Degree Optimization Algorithm: System Design and Algorithm Analysis

Abstract

Food issues have long been the subject of people's concern, and in recent years, frequent disasters have exacerbated the instability of the food system. The contemporary food system is highly efficient, but it neglects equity and sustainability. In order to solve the problem, this paper establishes an obstacle-driven food system impact index model to evaluate and optimize the contemporary food system, choosing China and the United States as the typical representatives of developing and developed countries and puts forward a series of algorithm optimization strategies for the two countries' food systems. By making time-series predictions on the indicators of equity and sustainability, we propose an obstacle degree optimization algorithm for the food systems of the two countries. We predict that by 2030, the obstacle degree to the stability of the Chinese food system in terms of equity and sustainability will be 20 percent lower than in 2018. Also, we predict that by 2025, the obstacle degree of the U.S. will fall from 0.411 in 2018 to zero.