湖北民族学院学报（自然科学版）2016，Vol.34Issue(4)：424-429,6.DOI:10.13501/j.cnki.42-1569/n.2016.12.015
多项学习免疫优化算法
Multiple Learning Immune Optimization Algorithm
摘要
Abstract
This paper presents the immune optimization algorithm based on multiple learning OL-CAIS to solve global optimization problems. Chaos optimization theory is proposed to join the immune algorithm, and at the same time we introduced in the algorithm a class of hybrid operator search equation paying more attention to the interactive information of whole group.The search way is redefined and then,through the orthogonal experiment,an orthogonal learning strategy is formed which makes full use of the useful in-formation in the search space and orthogonal design of small sample characteristics, to produce a better generation and ensure the effective of diverse search.关键词
人工免疫/混沌优化/杂交算子/正交学习Key words
artificial immune/chaos optimization/hybrid operator/orthogonal learning分类
计算机与自动化引用本文复制引用
张伟伟,林静静,景红蕾,林雪洁..多项学习免疫优化算法[J].湖北民族学院学报（自然科学版）,2016,34(4):424-429,6.基金项目
国家自然科学基金青年科学基金项目(61403349)；河南省教育厅科学技术研究重点项目基础研究计划项目(14B520066；15A520033)；郑州轻工业学院博士基金项目(2013BSJJ044)；郑州轻工业学院研究生科技创新基金资助项目；郑州轻工业学院大学生科技活动项目 （61403349）
