Optimization using the second reduced model.
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Iason
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cfdbe60f37
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@ -48,7 +48,7 @@ int main(int argc, char *argv[]) {
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ReducedModelOptimizer::xRange beamE{"E", 0.1, 1.9};
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ReducedModelOptimizer::xRange innerHexagonSize{"HexagonSize", 0.1, 0.9};
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// Test set of full patterns
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std::string fullPatternsTestSetDirectory = "TestSet";
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std::string fullPatternsTestSetDirectory = "../TestSet";
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if (!std::filesystem::exists(
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std::filesystem::path(fullPatternsTestSetDirectory))) {
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std::cerr << "Full pattern directory does not exist: "
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@ -87,7 +87,8 @@ int main(int argc, char *argv[]) {
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beamDimensionsRatio.toString() + " " +
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beamE.toString();
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std::cout << xRangesString << std::endl;
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settings.xRanges = {beamWidth, beamDimensionsRatio, beamE,innerHexagonSize};
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settings.xRanges = {beamWidth, beamDimensionsRatio, beamE,
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innerHexagonSize};
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// std::filesystem::path thisOptimizationDirectory(
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// std::filesystem::path("../OptimizationResults").append(xRangesString));
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// std::filesystem::create_directories(thisOptimizationDirectory);
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@ -103,7 +104,7 @@ int main(int argc, char *argv[]) {
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resultsPerPattern(patternPairs.size());
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auto start = std::chrono::high_resolution_clock::now();
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#pragma omp parallel for
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//#pragma omp parallel for
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for (int patternPairIndex = 0; patternPairIndex < patternPairs.size();
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patternPairIndex++) {
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// const auto filepathString = filepath.string();
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@ -32,7 +32,7 @@ struct GlobalOptimizationVariables {
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std::vector<std::vector<double>> failedSimulationsXRatio;
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int numOfSimulationCrashes{false};
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int numberOfFunctionCalls{0};
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int numberOfOptimizationParameters{ 3 };
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int numberOfOptimizationParameters{3};
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};
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// static GlobalOptimizationVariables global;
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@ -155,8 +155,7 @@ double ReducedModelOptimizer::computeError(
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void updateMesh(long n, const double *x) {
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auto &global = tls[omp_get_thread_num()];
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std::shared_ptr<SimulationMesh> &pReducedPatternSimulationMesh =
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global
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.g_reducedPatternSimulationJob[global.simulationScenarioIndices[0]]
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global.g_reducedPatternSimulationJob[global.simulationScenarioIndices[0]]
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->pMesh;
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// const Element &elem = g_reducedPatternSimulationJob[0]->mesh->elements[0];
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// std::cout << elem.axialConstFactor << " " << elem.torsionConstFactor << "
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@ -222,7 +221,7 @@ double ReducedModelOptimizer::objective(double b, double h, double E) {
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double ReducedModelOptimizer::objective(double b, double h, double E,
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double innerHexagonSize) {
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std::vector<double> x{b, h, E,innerHexagonSize};
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std::vector<double> x{b, h, E, innerHexagonSize};
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return ReducedModelOptimizer::objective(x.size(), x.data());
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}
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@ -250,7 +249,7 @@ double ReducedModelOptimizer::objective(long n, const double *x) {
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double error = 0;
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FormFinder simulator;
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FormFinder::Settings simulationSettings;
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simulationSettings.shouldDraw = true;
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// simulationSettings.shouldDraw = true;
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for (const int simulationScenarioIndex : global.simulationScenarioIndices) {
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SimulationResults reducedModelResults = simulator.executeSimulation(
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global.g_reducedPatternSimulationJob[simulationScenarioIndex],
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@ -296,8 +295,7 @@ double ReducedModelOptimizer::objective(long n, const double *x) {
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std::ofstream out(filename, std::ios_base::app);
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auto pMesh =
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global
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.g_reducedPatternSimulationJob[global
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.simulationScenarioIndices[0]]
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.g_reducedPatternSimulationJob[global.simulationScenarioIndices[0]]
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->pMesh;
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for (size_t parameterIndex = 0; parameterIndex < n; parameterIndex++) {
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@ -321,9 +319,9 @@ double ReducedModelOptimizer::objective(long n, const double *x) {
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global.minX.assign(x, x + n);
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}
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global.numberOfFunctionCalls++;
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//if (++global.numberOfFunctionCalls % 50 == 0) {
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std::cout << "Number of function calls:" << global.numberOfFunctionCalls
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<< std::endl;
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// if (++global.numberOfFunctionCalls % 50 == 0) {
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std::cout << "Number of function calls:" << global.numberOfFunctionCalls
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<< std::endl;
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//}
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// compute error and return it
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@ -497,8 +495,8 @@ ReducedModelOptimizer::ReducedModelOptimizer(
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void ReducedModelOptimizer::initializePatterns(
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FlatPattern &fullPattern, FlatPattern &reducedPattern,
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const std::unordered_set<size_t> &reducedModelExcludedEdges) {
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//fullPattern.setLabel("full_pattern_" + fullPattern.getLabel());
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//reducedPattern.setLabel("reduced_pattern_" + reducedPattern.getLabel());
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// fullPattern.setLabel("full_pattern_" + fullPattern.getLabel());
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// reducedPattern.setLabel("reduced_pattern_" + reducedPattern.getLabel());
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assert(fullPattern.VN() == reducedPattern.VN() &&
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fullPattern.EN() >= reducedPattern.EN());
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polyscope::removeAllStructures();
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@ -540,9 +538,9 @@ void ReducedModelOptimizer::initializeOptimizationParameters(
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const std::shared_ptr<SimulationMesh> &mesh) {
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auto &global = tls[omp_get_thread_num()];
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global.numberOfOptimizationParameters = 3;
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global.g_initialParameters.resize(global.optimizeInnerHexagonSize
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? ++global.numberOfOptimizationParameters
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: global.numberOfOptimizationParameters);
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global.g_initialParameters.resize(
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global.optimizeInnerHexagonSize ? ++global.numberOfOptimizationParameters
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: global.numberOfOptimizationParameters);
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// Save save the beam stiffnesses
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// for (size_t ei = 0; ei < pReducedModelElementalMesh->EN(); ei++) {
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// Element &e = pReducedModelElementalMesh->elements[ei];
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@ -560,7 +558,7 @@ void ReducedModelOptimizer::initializeOptimizationParameters(
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global.g_initialParameters(1) = initialRatio;
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global.g_initialParameters(2) = mesh->elements[0].material.youngsModulus;
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if (global.optimizeInnerHexagonSize) {
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global.g_initialParameters(3) =global.g_innerHexagonInitialPos;
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global.g_initialParameters(3) = global.g_innerHexagonInitialPos;
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}
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// g_initialParameters =
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// m_pReducedPatternSimulationMesh->elements[0].properties.E;
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@ -648,9 +646,9 @@ ReducedModelOptimizer::Results ReducedModelOptimizer::runOptimization(
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// "conditions is not recommended.");
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// Set initial guess of solution
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//const size_t initialGuess = 1;
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//std::vector<double> x(n, initialGuess);
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//if (global.optimizeInnerHexagonSize) {
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// const size_t initialGuess = 1;
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// std::vector<double> x(n, initialGuess);
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// if (global.optimizeInnerHexagonSize) {
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// x[n - 1] = global.g_innerHexagonInitialPos;
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//}
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/*if (!initialGuess.empty()) {
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@ -690,16 +688,15 @@ ReducedModelOptimizer::Results ReducedModelOptimizer::runOptimization(
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auto start = std::chrono::system_clock::now();
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dlib::function_evaluation result;
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if (global.optimizeInnerHexagonSize) {
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double (*objF)(double, double, double,double) = &objective;
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result = dlib::find_min_global(
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objF, xMin, xMax, dlib::max_function_calls(settings.maxSimulations),
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std::chrono::hours(24 * 365 * 290), settings.solutionAccuracy);
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}
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else {
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double (*objF)(double, double, double) = &objective;
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result = dlib::find_min_global(
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objF, xMin, xMax, dlib::max_function_calls(settings.maxSimulations),
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std::chrono::hours(24 * 365 * 290), settings.solutionAccuracy);
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double (*objF)(double, double, double, double) = &objective;
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result = dlib::find_min_global(
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objF, xMin, xMax, dlib::max_function_calls(settings.maxSimulations),
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std::chrono::hours(24 * 365 * 290), settings.solutionAccuracy);
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} else {
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double (*objF)(double, double, double) = &objective;
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result = dlib::find_min_global(
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objF, xMin, xMax, dlib::max_function_calls(settings.maxSimulations),
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std::chrono::hours(24 * 365 * 290), settings.solutionAccuracy);
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}
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auto end = std::chrono::system_clock::now();
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auto elapsed = std::chrono::duration_cast<std::chrono::seconds>(end - start);
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@ -1084,6 +1081,6 @@ ReducedModelOptimizer::Results ReducedModelOptimizer::optimize(
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}
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Results optResults = runOptimization(xRanges, &objective);
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updateMesh(optResults.x.size(), optResults.x.data());
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visualizeResults(simulationJobs, global.simulationScenarioIndices);
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visualizeResults(simulationJobs, global.simulationScenarioIndices);
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return optResults;
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}
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