Applying Design of Experiment based Significant Parameter Search and Reducing Number of Experiment to Analysis of Evacuation Simulation

In this paper, we address the development of module to the framework which manage execution of multi-agent simulations entered the innumerable combination of input parameters, in order to find effective input parameters from the exhaustive parameter combinations. Toward the development of module, we focus on design of experiment and propose method that orthogonal parameter sets are generated automatically by using differences of the output result. Concretely, by using statistical analysis, parameters are indicated significant difference between input values, and combination of parameters around these significant parameters is generated. To investigate effectiveness of proposed method, through evacuation simulation, we compare each results of all combination of input parameter and reduced combination of them by using module which implemented proposed method is implemented.