摘要
借鉴生物免疫中的独特性网络调节理论 ,将进化个体对应为免疫系统中的抗体 ,群体适应度增量作为抗原 ,提出了一种改进遗传算法 ,实现了个体群在群体收敛性和个体多样性之间动态平衡的调整。模拟实验表明新算法的收敛性能更佳。
Enlightened by the immune Idiotypic Network Regulation theory, an improved genetic algorithm is presented. In the algorithm, an individual is regarded as an antibody and the increment of a colony’s average fitness is regarded as an antigen. The new algorithm has a good effort to adjust the dynamic balance of colony’s convergence and individual’s diversity. Its application to quadratic assignment problems shows the high efficiency of this algorithm.
出处
《高技术通讯》
EI
CAS
CSCD
2000年第10期23-27,共5页
Chinese High Technology Letters
基金
国家自然科学基金!( 699710 2 2 )资助项目
关键词
遗传算法
收敛性
免疫系统
独特性网络调节
二次布局
Genetic algorithm, Convergence, Immune system, Idiotypic network regulation theory,Quadratic assignment problem
