A Chaos Quantum Immune Algorithm for power system economic dispatch computation

By integrating the ergodicity of chaos searching and the high efficiency of quantum computation into immune optimization, a novel chaos quantum immune algorithm for power system economic dispatch computation is presented. In this algorithm, antibodies in colonies are coded by quantum bits and updated by quantum rotation gates. To change phase of qubit, two different chaos variables are introduced into the quantum rotation gate. one with the relatively small amplitude performs the cloning of excellent individuals to implement the local searching, and the other with the relatively large amplitude performs the mutation of inferior individuals to realize the global searching. The convergence of the proposed algorithm has been proved. The experimental results indicate that the algorithm remarkably improves the convergence performance and the search efficiency of the immune optimization algorithm.