计算机应用研究2012，Vol.29Issue(12)：4515-4517,3.DOI:10.3969/j.issn.1001-3695.2012.12.029
免疫文化基因算法求解多模态函数优化问题
Multi-model function optimization based on immune clonal memetic algorithm
摘要
Abstract
For finding all the extreme solutions for multi-model function optimization, this paper proposed an immune clonal optimization memetic algorithm. The algorithm used the danger signal to adaptively guide the clonal, mutation and selection operators. And it also used the Baldwin learning mechanism for the local search, to enhance the searching ability for the best solutions. The experimental results show that the algorithm has higher precise solution.关键词
免疫优化/多模函数/文化基因算法/危险信号Key words
immune optimization/ multi-model function/ memetic algorithm/ danger signal分类
信息技术与安全科学引用本文复制引用
刘合安,张群慧..免疫文化基因算法求解多模态函数优化问题[J].计算机应用研究,2012,29(12):4515-4517,3.基金项目
湖南省教育厅科学研究资助项目(12C0574) （12C0574）
