Physical Parameter Identification of Non-Linear System via Pool Genetic Algorithm

Abstract

In this paper, we propose a new method of estimating the physical parameters for a non-linear system with known structure by using a genetic algorithm (GA). Since a simple GA is empirically known in many cases to cause initial convergence or fall into a local minimum, we introduce a new algorithm named Pool GA and verify its effectiveness for the identification.