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9 o; C) m. H1 s# ` \! n一、源代码
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- %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
- %
- % 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)
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二、运行结果; m9 i' w" J0 H) c
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发表于 2021-3-31 08:49
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淘帖
支持！
反对！