基于球面杂交的动态自适应克隆选择算法  

Dynamic Adaptive Clone Selection Algorithm Based on Sphere Crossover

作　　者：朱颢东[1] 李红婵[1] 

机构地区：[1]郑州轻工业学院计算机与通信工程学院,郑州450002

出　　处：《计算机工程》2011年第7期201-203,共3页Computer Engineering

基　　金：河南省基础与前沿技术研究计划基金资助项目(102300410266);郑州轻工业学院博士科研基金资助项目

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。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.

关 键 词：球面杂交 克隆选择算法 变异概率 抗体亲和度 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]