Evolutionary Design Optimization of Economic Support Policies by Social Simulations

Abstract

In recent years, severe economic damages have been caused by the spread of the Covid-19 infection. The design of economic support policies using social simulations has been paid great attention. In the Evolutionary Computation Competition 2021, a multiobjective optimization problem was posed to design economic support policies that simultaneously optimize the elimination of impoverished conditions and an appropriate level of payments. Economic support policies are evaluated using a social simulation with synthetic population data and multiple economic shock scenarios. In this paper, we apply an evolutionary multiobjective optimization algorithm to the design of promising economic support policies. We analyze the characteristics of Pareto optimal economic support policies and the structure of the multiobjective optimization problem through computational experiments.