A Test of Optimization Performance of IGA in the Sound Creator of Hitting a Golf Ball

Abstract

In this paper, we propose a sound creator of hitting a golf ball by using Interactive Genetic Algorithm (IGA). IGA is a useful method for Kansei designing because it does not require any quantitative functions for optimizing systems. User only evaluates a sound which the system created and can get a golf sound which he hopes. But the user has a problem with being distressed by fatigue. So we need to quickly optimize a golf sound which composed of any parameter. We tried to reduce parameter and we are considered improving optimization performance by getting wave which we use the Discrete Wavelet Transform. As a result, changes in the optimization performance when parameter is reduced can be quantitatively compared.