simulation based GA, runs slow and calculate more than the number of population

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Jason Xu 2019-1-11

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https://ww2.mathworks.cn/matlabcentral/answers/439372-simulation-based-ga-runs-slow-and-calculate-more-than-the-number-of-population

编辑： Jason Xu 2019-5-1

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Hi everyone:

Im using non-linear constrianted GA to optimize my Simulink model but run into a problem.

As you can see in my code, the population is set to 15 (because it will cost my simulink model around 4mins to calculate each solution so i set it to a small number), but based on my timing record i found GA calculate way more than that on each iteration which is really time-consuming. Any sugguestions will be very much appreciated, thanks !

%% Objective function
ObjectiveFunction                  = @f_eco;                               % define objective function
NumVar                             = 9;                                    % number of variables
LB                                 = [90*10^(-6),330*10^(-6),0.025,250,400,4*10^(-3),0.8,7,7]; % lower bound
UB                                 = [110*10^(-6),400*10^(-6),0.04,350,600,7.2*10^(-3),1.2,12,12]; % upper bound
ConstraintFunction                 = @f_cons;                              % constraint function
%% GA Options
% population size
options = optimoptions('ga','PopulationSize',15);
% modifying the stopping criteria
options = optimoptions(options,'MaxGenerations',10,'MaxStallGenerations',inf);
% initial populaztion
options = optimoptions(options,'InitialPopulationMatrix',var_ini);
% visualization
options = optimoptions(options,'PlotFcn',{@gaplotbestf},'Display','iter');
% modify the output
options = optimoptions(options,'OutputFcn',@gaoutfun);
% Termination certeria
options = optimoptions(options,'TolFun',1e-6,'TolCon',1e-3);
% Parrell
options = optimoptions(options,'UseParallel',true,'EliteCount',2);
%% SPMD
spmd
  mkdir(sprintf('worker%d', labindex));
  copyfile('E28.slx',sprintf('worker%d/',labindex));
  cd(sprintf('worker%d', labindex));
end
%% Run GA !
tic
[x,fval,exitFlag,Output] = ga(ObjectiveFunction,NumVar,[],[],[],[],LB,UB, ...
    ConstraintFunction,options);
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