Abstract
Application of evolutionary algorithm, artificial immune system and particle swarm optimization in the minimization atomic cluster’s total potential energy is presented in this work. These methods of computational intelligence simulate biological processes of the natural environment and organisms such as theory of evolution and biological immune systems and give a strong probability of finding the global optimum. Some examples and discussion on the results of optimization are also presented in this paper.