Abstract:

Based on the clonal selection principle and idiotypic immune network theory of biological immune system，a dynamic clonal adjustment strategy（DCAS）is proposed. The strategy with the target of global optimization introduces the dynamic adjustment idea of antibody promotion and suppression and automatic adjustment of the search area and clonal scale based on the clonal selection algorithm. With the use of the adaptive multi-scale mutation operation，DCAS holds a better diversity of population，harmonizes global and local optimization searching，improves the global convergence speed，and can effectively avoid prematurity. The contrasting simulation of multi-modal function optimization experiments between DCAS and other algorithms were performed. The experiment results verify that the above theory is right and it can be used in the distillation process resource allocation optimization with good results.