GA.rar_GA 无约束_GA 约束_GA优化函数

clc clear close all %% Options=gaoptimset(@ga) Options=gaoptimset(Options,'PlotFcns',@gaplotbestf,'TolFun',1e-12,'TolCon',Inf) D=100; %/*The number of parameters of the problem to be optimized*/ ub=ones(1,D)*100; %/*lower bounds of the parameters. */ lb=ones(1,D)*(-100);%/*upper bound of the parameters.*/ [x,fval, exitflag]=ga(@fitness,D,[],[],[],[],lb,ub,[],Options) %% 注释 % Options = % % PopulationType: 'doubleVector' % PopInitRange: [] % PopulationSize: '50 when numberOfVariables <= 5, else 200' % EliteCount: '0.05*PopulationSize' % CrossoverFraction: 0.8000 % ParetoFraction: [] % MigrationDirection: 'forward' % MigrationInterval: 20 % MigrationFraction: 0.2000 % Generations: '100*numberOfVariables' % TimeLimit: Inf % FitnessLimit: -Inf % StallGenLimit: 50 % StallTest: 'averageChange' % StallTimeLimit: Inf % TolFun: 1.0000e-20 % TolCon: 1.0000e-20 % InitialPopulation: [] % InitialScores: [] % InitialPenalty: 10 % PenaltyFactor: 100 % PlotInterval: 1 % CreationFcn: @gacreationuniform % FitnessScalingFcn: @fitscalingrank % SelectionFcn: @selectionstochunif % CrossoverFcn: @crossoverscattered % MutationFcn: {[@mutationgaussian] [1] [1]} % DistanceMeasureFcn: [] % HybridFcn: [] % Display: 'final' % PlotFcns: @gaplotbestf % OutputFcns: [] % Vectorized: 'off' % UseParallel: 0