A Grey Wolf Optimization Algorithm Based on Nonlinear Adj ustment Strategy of Control Parameter
WEI Zhenglei
ZHAO Hui
LI Mudong
WANG Yuan
KE Yiming
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.
Keywords：Grey Wolf Optimization (GWO)algorithmcontrol parameternonlinear strategyfunction optimization
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 68-72 )