计算机应用与软件2017，Vol.34Issue(2)：246-250,5.DOI:10.3969/j.issn.1000-386x.2017.02.044
基于共轭梯度法和Tent映射的拟态物理学算法
THE ARTIFICIAL PHYSICS OPTIMIZATION ALGORITHM BASED ON CONJUGATE GRADIENT METHOD AND TENT MAPPING
摘要
Abstract
An improved artificial physics algorithm which is combined conjugate gradient method with chaotic perturbations is proposed to solve the problem that the improved artificial physics algorithm has poor search accuracy in later period and it is easy to fall into local optimum.This algorithm adopted conjugate gradient method,a high accuracy analytical algorithm,to search locally when it is difficult for artificial physics algorithm to search accurately in later period,replacing artificial physics algorithm.It also introduced the Chaotic Perturbations to the whole algorithm,to a certain extent,to prevent the algorithm convergent too early.Tests show that the algorithm could jump out from the local optimal solution and had better solution in precision,stability and speed.So this algorithm is suitable for the high dimension complex functions optimization.关键词
拟态物理学算法/共轭梯度法/寻优/混沌扰动Key words
Artificial physics algorithm/Conjugate gradient method/Optimization/Chaotic perturbations分类
信息技术与安全科学引用本文复制引用
唐林英,王炼红,李潇瑶..基于共轭梯度法和Tent映射的拟态物理学算法[J].计算机应用与软件,2017,34(2):246-250,5.基金项目
国家自然科学基金项目(61174140) （61174140）
湖南省自然科学基金项目(14JJ4026). （14JJ4026）
