关键词: 免疫量子进化算法, 混沌理论, 交叉和变异

Abstract: A novel immune quantum evolutionary algorithm based on chaos theory（CIQEA） is proposed.By chaos theory and niche methods population is divided into subpopulations of real-coded chromosome automatically，and then local search is carried by the immune mechanism，each subpopulation can obtain optimal solution.Chaos search is capable of escaping from premature.We introduce real-coded chromosome to solve precision and efficiency problem of binary system.The quantum evolutionary algorithm with intrinsic parallelism is integrated with adaptive immune dynamic model，it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm，but also can help to accelerate the convergence speed and has able to get the global optimal and sub-optimal solutions rapidly.Its superiority is shown by some simulation experiments in this paper.

Key words: immune quantum evolutionary algorithm, chaos theory, cross and mutation