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.

摘要：

基于生物免疫的克隆选择和独特型免疫网络机理，提出了动态克隆调节策略（DCAS）。该策略以搜索全局最优解为目标，引入了抗体的促进与抑制的动态调节思想，能自动调整搜索空间及克隆规模，并采用自适应多尺度变异方法，因此能更好地保持种群的多样性，协调全局与局部寻优搜索，提高了全局收敛的速度，有效避免了早熟现象。本文用典型的多峰测试函数检验了算法的有效性，并将结果应用于分馏系统的进料资源优化中，取得了良好的效果。