一、获取代码方式

​获取代码方式1：​

完整代码已上传我的资源：​​【优化算法】金鹰优化算法（GEO）【含Matlab源码 187期】​​

​获取代码方式2：​

通过订阅紫极神光博客​付费专栏​，凭支付凭证，​私信博主​，可获得此代码。

备注：

订阅紫极神光博客​付费专栏​，可免费获得​1​份代码（​有效期​为订阅日起，三天内有效）；

二、部分源代码

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%  
%  Golden Eagle Optimizer (GEO) source codes version 1.0
%  
 
% To use this code in your own project 
% remove the line for 'GetFunctionDetails' function 
% and define the following parameters: 
% fun   : function handle to the .m file containing the objective function
%     the .m file you define should accept the whole population 'x' 
%     as input and return a column vector containing objective function 
%     values of all of the population members
% nvars : number of decision/design variables 
% lb    : lower bound of decision variables (must be of size 1 x nvars)
% ub    : upper bound of decision variables (must be of size 1 x nvars)
%
% GEO will return the following: 
% x     : best solution found 
% fval  : objective function value of the found solution 
% 
 
 
 
%% Inputs 
 
FunctionNumber = 1; % 1-23
 
options.PopulationSize = 50;
options.MaxIterations  = 1000;
 
 
 
%% Run Multi-Objective Golden Eagle Optimizer 
 
[fun,nvars,lb,ub] = GetFunctionDetails (FunctionNumber);
 
options.AttackPropensity = [0.5 ,   2];
options.CruisePropensity = [1   , 0.5];
 
[x,fval,ConvergenceCurve] = GEO (fun,nvars,lb,ub, options);
 
 
 
%% Plot results 
 
PlotResults (fun,lb,ub, FunctionNumber,ConvergenceCurve)

三、运行结果

四、matlab版本及参考文献

​1 matlab版本​

2014a

​2 参考文献​

[1] 包子阳,余继周,杨杉.智能优化算法及其MATLAB实例（第2版）[M].电子工业出版社，2016.

[2]张岩,吴水根.MATLAB优化算法源代码[M].清华大学出版社，2017.