Construction of the Population Dynamics Predictive Model of Sika deer in Hyogo by Petri Nets

This paper proposes the model used Petri Net in which the population of Sika deer in Hyogo can be estimated. In the proposed model, Hyogo is divided into 16 small areas and the number, birth, death, and movemont of Sika deer in each area can be expressed. However the number of Sika deer cannot be measured directly, a new conversion coefficient of density index into the number of Sika deer is defined. Unknown parameters, i.e., death rate, traveling rate between two areas and the conversion coefficient, are identified by a genetic algorithm from using the measured data.The availability of this proposed method is proven through some simulation results.