Error with using a Simulink model as the objective function in ParetoSearch with options.UseParallel set to True (Global Optimization Tool Box)

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Jyotirmaya Patra
Jyotirmaya Patra 2022-5-9
回答： Avadhoot 2024-1-23
Hi, I currently have an optimization problem which involves identifying a set of parameters in a Simulink model that finds the minimum of the model output. The output is the average of a time series data. I an currently using pareto search (it is a multi objective optimization problem) from the Global Optimization Toolbox.
I have a function handle (run_simulink_model()) that calls the simulink model and once the model runs based on the inputs (parameters of the model) given by the pareto search algo and then there is a bit of post processing that involves using the output from the model to compute the target for optimization. Now the whole thing runs fine when the options.UseParallel is set to . When I set options.UseParallel to the pareto search fails. In the case when parallel is set to I use parsim inside the function handle and it still doesnt seem to work. I would like to understand if parallel computing is possible in pareto search when a simulink model is used.
function fval = run_simulink_model(model_params_fr_optimization, nameSimulinkModel, save_location, evaluation, parallel)
batchSize = size(model_params_fr_optimization, 1);
fval = nan(batchSize, 3);
save_system(nameSimulinkModel);
simulationModelIn(batchSize) = Simulink.SimulationInput;
for idx1 = 1:batchSize
simulationModelIn(idx1).ModelName = nameSimulinkModel;
simulationModelIn(idx1) = simulationModelIn(idx1).setVariable(...
'param_name', model_params_fr_optimization(idx1,:));
end
if parallel == false
youts = sim(simulationModelIn);
elseif parallel == true
youts = parsim(simulationModelIn, 'ShowProgress', 'on', 'TransferBaseWorkspaceVariables','on');
end
fval = post_processing(youts) % Post processing in this section to return the multiple outputs to be optimized
end
%% Function handle and the script for paretosearch
f = @(x)run_simulink_model(x, nameSimulinkModel, save_location, evaluation, parallel_run);
ptions = optimoptions('paretosearch');
options.Display = 'iter';
options.MaxFunctionEvaluations = 10;
options.MaxIterations = 5;
options.InitialPoints.X0 = X; %initial data points
options.ParetoSetSize = 4;
options.UseParallel = true;
[X,fval,exitflag,output,residuals] = paretosearch(f, 2, [], [], [], [], lb, ub, [], options)
Following is the error message i get:
Invalid Simulink object name: simpleSimulinkModel.
The block diagram 'simpleSimulinkModel' is not loaded.
If you need nay further info please do let me know. :) TIA

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回答（1 个）

Avadhoot
Avadhoot 2024-1-23
Hi Jyotirmaya,
This issue appears because MATLAB cannot find your model in the base workspace before simulating it. You can solve this problem using any of the following steps:
  1. Load the model: Use the following line to explicitly load the model file in the base workspace:
load_system(nameSimulinkModel);
Insert this line instead of the following line
save_system(nameSimulinkModel);
2. Check if the model is on the MATLAB path: Execute the following command to add the model to the MATLAB path
addpath('path_to_the_model');
3. If both of the options don't work, ensure the file is open by excuting the following command:
open_system(nameSimulinkModel);
If the file opens without any issuesd then try re-running your script.
I hope it helps.

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