Optimizing Gamma-Ray Shielding Material by Using Genetic Algorithm and MCNP Code

Radiation shielding material investigations is an important subject which relates to human safety, for those engaging in medical radiation, radiology, and facilities related with nuclear radiation, manned spacecraft and so on. Therefore necessity of finding effective shielding materials which have low weight, and cost, and have stability against radiation, with high temperature resistant, and no biological damage,… is obvious. On the other hand, because of the multi-variability of the problem, it is experimentally difficult to determine the optimum values of the concerned variables. For this reason, simulation for discovering optimized shielding material is important. Parameters such as attenuation, thickness, and cost of gamma radiation shielding materials were optimized by using genetic algorithm combined with MCNP code. Multi objective genetic algorithm (GA) is one of the scientific solutions for this problem.