Immune-Difference Algorithm

This paper introduces difference mutation idea for diversified search to elitist search-based immune optimization algorithm for function optimization. The idea of difference mutation is merged into the process of clonal selection and hupermutation algorithm, so that the new solutions have the tendency to get close to the global optimal solution. The introduction of differential algorithm idea greatly accelerates the convergence speed and makes the search algorithm produces better performance under a fixed number of steps. In short, the performance of the immune algorithm is greatly improved by introduction of differential algorithm.