Application of genetic algorithms to modelings of fusion plasma physics

The genetic algorithm based optimizer is a powerful tool for global optimization. Taking advantage of this feature, it is applied to physical modelings of magnetically confined toroidal plasmas: searching the positions of the magnetic axis and the X point in an axisymmetric equilibrium, fitting an analytic function to the measurement points and developing an automated flux matching tool. Through the modelings, the wide applicability of the genetic algorithm based optimizer is elucidated.