计算机技术与发展2018，Vol.28Issue(2)：36-39,44,5.DOI:10.3969/j.issn.1673-629X.2018.02.009
基于免疫进化的野草优化随机搜索算法
An Invasive Weed Optimization Algorithm Based on Immune Evolution
摘要
Abstract
Aiming at the limitations of easily falling into local minimum and premature convergence in invasive weed optimization(IWO), we propose a modified invasive weed optimization algorithm based on immune evolution.The theory of immune evolution is introduced into IWO for immune and evolutionary iteration computation to the optimal solution that is applied to guide different weeds in global search and local search,which can be free from falling into the local optimum and be close to the global optimal solution with higher precision for the algorithm.Through numerical optimization curve contrast and average optimal contrast with four kinds of typical Benchmark functions,the experiments show that the proposed algorithm has better optimal searching ability and stability as well as faster convergence than those of basic IWO.关键词
野草优化/随机搜索/免疫进化算法/函数测试Key words
invasive weed optimization/stochastic search/immune evolutionary algorithm/function test分类
信息技术与安全科学引用本文复制引用
杨澜,惠飞,侯俊,穆柯楠,武晓洁..基于免疫进化的野草优化随机搜索算法[J].计算机技术与发展,2018,28(2):36-39,44,5.基金项目
国家自然科学基金(61501058) （61501058）
中央高校基本科研业务费专项资金资助项目(310824164007) （310824164007）
