空军工程大学学报（自然科学版）2016，Vol.17Issue(3)：68-72,5.DOI:10.3969/j.issn.1009-3516.2016.03.013
控制参数值非线性调整策略的灰狼优化算法
A Grey Wolf Optimization Algorithm Based on Nonlinear Adj ustment Strategy of Control Parameter
摘要
Abstract
Aimed at the problem that the Grey Wolf Optimization (GWO)algorithm is easily bogged down in local optimization in solving function optimization,this paper proposes a nonlinear adj ustment strategy by adopting sinusoid,logarithmic,tangential,cosine and quadratic curves.And at the same time a strate-gy on mutating position of the agents is presented,whose position is influenced by fitness value.The ex-perimental results for three standard test functions show that the proposed cosine and the quadratic curve strategies are superior to the classical linear strategy,and the others such as the sinusoid strategy,the log-arithmic strategy,and the tangential curve strategy are inferior to the linear strategy.关键词
灰狼优化算法/控制参数/非线性策略/函数优化Key words
Grey Wolf Optimization (GWO)algorithm/control parameter/nonlinear strategy/function optimization分类
信息技术与安全科学引用本文复制引用
魏政磊,赵辉,李牧东,王渊,柯益明..控制参数值非线性调整策略的灰狼优化算法[J].空军工程大学学报（自然科学版）,2016,17(3):68-72,5.基金项目
国家自然科学基金(71501184) （71501184）
航空科学基金(20155196022) （20155196022）
