Children are vulnerable to bad indoor air quality, and many researches on indoor air quality have been done with various methodologies. Herein, we used the genetic algorithm, one of the optimization methods, for the analysis based on better estimation values that are not easy to measure. A children playroom and a Taekwondo gym were chosen for the different degree of physical activity. After estimation of the number of occupants, the generation degree of CO2 and PM2.5 were determined from the data of the indoor air quality monitors. Relative errors were below 1% for all cases. Due to many air-treating electronics, the PM2.5 in the children playroom was well-managed compared to that in the Taekwondo gym. The PM2.5-generating activities were calculated and that of the Taekwondo gym was higher than that of the children playroom. The PM2.5 generating values were on the positive relationship with CO2 generating values. This means that we can obtain meaningful information from limited measurement data. For the numerous children facilities, indoor air quality can be easily analyzed and this might contribute to enhancing the children health.