A Chaos-clone based evolutionary algorithm (CCEA) was proposed by integrating chaos search and clonal selection algorithm (CLONALG). In CCEA the chaotic floating point numbers code was used to replace the binary code of CLONALG, and the initial antibody population was produced by the chaos random serial．The algorithm adopted a chaotic disturbance strategy for the antibodies with high affinity, and added the different chaotic disturbance to an antibody according to its affinity to antigen; the disturbance factor changes with the evolutionary generation so as to speed search during prophase and convergence during anaphase． CCEA uses a chaos to reshuffle operation for those antibodies with low affinity to maintain the diversity of the population． Simulation results for 5 comprehensive benchmark functions demonstrate that the CCEA has better performance than both the chaos optimization and CLONALG individually used．