摘要
分析了传统用于多模态函数优化问题小生境遗传算法的特点和不足,基于免疫系统的克隆选择原理,提出一种解决多模态函数优化问题的小生境克隆选择算法(NCSA),通过3个典型的多模态函数寻优问题的仿真实验,说明实现了小生境克隆选择算法在解决多模态函数的优化问题时的有效性.
The characteristics and deficiencies of traditional niche genetic algorithms for multi-modal function optimization are discussed, and a niche clonal selection algorithm (NCSA) for multi-modal function optimization based on clonal selection principle of immune system is proposed. Finally, the algorithm is applied to the optimizations of typical multi-modal functions, and the experiments have revealed its simplicity and effectiveness.
出处
《甘肃科学学报》
2006年第3期64-68,共5页
Journal of Gansu Sciences
基金
甘肃省自然科学基金资助项目(ZS021-A25-017-G)
关键词
多模态函数优化
小生境技术
克隆选择算法
multi-modal function optimization
niching technology
clonal selection algorithm