计算机工程2011，Vol.37Issue(10)：170-172,3.DOI:10.3969/j.issn.1000-3428.2011.10.058
求解非线性问题的改进社会认知优化算法
Modified Social Cognitive Optimization Algorithm of Solving Nonlinear Problem
摘要
Abstract
Focusing on the problem of the process of refreshing, the knowledge point is so weak that it is bad for getting the optimization resolution in social cognitive algorithm.Through bringing in the chaos and Kent mapping function to modify and optimize the conditions of neighborhood search, it can get more reasonable knowledge points which are distributed more uniformly.Using the compared data, it can find that the speed of convergence and the legitimacy is better than before, and the value of the object function is closed to the theory value.关键词
进化计算/社会认知优化/Kent映射函数/混沌/非线性约束Key words
evolutionary computation/ social cognitive optimization/ Kent mapping function/ chaos/ nonlinear constraint分类
信息技术与安全科学引用本文复制引用
马力,王荣喜,陈彦萍..求解非线性问题的改进社会认知优化算法[J].计算机工程,2011,37(10):170-172,3.基金项目
国家自然科学基金资助项目(60803162) （60803162）
陕西省自然科学基金资助项目(SJ08-ZT15) （SJ08-ZT15）
陕西省教育厅专项科研计划基金资助项目(08JK423) （08JK423）
