Artificial immune system based algorithms for optimization
optimization and selftuning control in power systems. The optimization is carried out using an algorithm based on the clonal selection principle and the selftuning characteristics of control for parameters are inspired by the humoral immune response of the human body. The work in this thesis is written in two papers as follows: Paper 1