Voting Simulation for Increasing Voter Turnout and Reducing the Number of Polls

In this paper, we employ a genetic algorithm to increase the vote turnout rates and to reduce the number of polling places without being lower than the actual rates by reallocating polling places. In order to estimate the decision making process of each voter, we adjust the parameters of voters in each area of the city. Through computer simulation, we could minimize the difference between the estimated voter turnout rates and the actual rates. Using the estimated parameters in each area, we increase the rates using a genetic algorithm. The simulation result shows that we can increase the voter turnout rates and reduce the number of polling places without being lower than the actual rates.