2014 Volume 27 Issue 7 Pages 279-289
In agent-based simulation using actual social statistics, attributes of all the agents have to been decided to meet the statistics. However, they can’t be decided uniquely because statistics gives only limited number of aggregated values. To this problem, Hara et al. have proposed a method of formulating the problem as a constrained optimization problem, and solving it using simulated annealing. They applied it to estimation of future population. However, they didn’t carry out evaluation of computational performance of their model. In this paper, the authors improved implementation of their model to enhance computational performance, discuss convergence of the optimization process and evaluate computational load of their method. Estimation results are compared with an estimation using conventional cohort-component method.
