Abstract: Based on sphere crossover strategy, a dynamic adaptive clone selection algorithm is proposed. Mutation probability of each antibody is dynamically calculated. According to antibody affinity, antibody populations are dynamically divided into memory antibody units and general antibody units. Antibody populations are adjusted by sphere crossover so that global search speed of the proposed algorithm is accelerated. The effectiveness and the feasibility of the proposed algorithm are verified by examples.

Key words: sphere crossover, clone selection algorithm, mutation probability, antibody affinity

摘要： 基于球面杂交策略，提出一种动态自适应克隆选择算法。在该算法的每次迭代过程中，动态地计算出每个抗体的变异概率，根据抗体的亲和度将抗体种群分为记忆单元和一般抗体单元，以球面杂交方式对种群进行调整，从而加快算法的全局搜索速度。实例验证了该算法的有效性、可行性。

关键词: 球面杂交, 克隆选择算法, 变异概率, 抗体亲和度

CLC Number: 

• TP301