A genetic algorithm-based method of neutron emissivity tomographic inversion for tokamak plasma

A new method of neutron emissivity tomographic reconstruction for fusion plasma was developed. The method is based on genetic algorithms. The developed method was tested using a synthetic data set. The results obtained with the synthetic data and a generic neutron tomographic system layout show that the method provides reliable reconstructions after ∼10000 iterations. The method capabilities were also tested against the noise present in the line-integrated projections.