计算机应用研究2011，Vol.28Issue(10)：3678-3680,3.DOI:10.3969/j.issn.1001-3695.2011.10.019
基于新型免疫算法的多峰函数优化
Multi-modal function optimization based on improved immune algorithm
傅清平1
作者信息
- 1. 江西师范大学计算机信息工程学院,南昌330022
- 折叠
摘要
Abstract
For the difficulty of finding all the extreme solutions for multi-modal function optimization, this paper proposed an improved immune algorithm. It designed the operators according to Baldwin efficiency and receptor editing, and enhanced the learning ability of the algorithm and fast the convergence. The experiment results show that the algorithm has better effectiveness and rapid convergence.关键词
免疫算法/多峰函数优化/Baldwin效应/受体编辑Key words
immune algorithm/ multi-modal function optimization/ Baldwin efficiency/ receptor editing分类
信息技术与安全科学引用本文复制引用
傅清平..基于新型免疫算法的多峰函数优化[J].计算机应用研究,2011,28(10):3678-3680,3.
