109 lines
4.2 KiB
C++
109 lines
4.2 KiB
C++
#include "beamformfinder.hpp"
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#include "csvfile.hpp"
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#include "edgemesh.hpp"
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#include "reducedmodeloptimizer.hpp"
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#include "simulationhistoryplotter.hpp"
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#include "trianglepattterntopology.hpp"
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#include <chrono>
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#include <filesystem>
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#include <iostream>
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#include <iterator>
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#include <stdexcept>
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#include <string>
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#include <vcg/complex/algorithms/update/position.h>
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#ifdef POLYSCOPE_DEFINED
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#include "polyscope/curve_network.h"
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#include "polyscope/point_cloud.h"
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#include "polyscope/polyscope.h"
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#endif
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int main(int argc, char *argv[]) {
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if (argc < 3) {
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std::cerr << "Specify at least the two pattern filepaths to be "
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"optimized.Exiting.."
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<< std::endl;
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std::terminate();
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}
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// Populate the pattern pair to be optimized
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////Full pattern
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const std::string filepath_fullPattern = argv[1];
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PatternGeometry fullPattern(filepath_fullPattern);
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fullPattern.setLabel(
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std::filesystem::path(filepath_fullPattern).stem().string());
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fullPattern.scale(0.03,3);
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////Reduced pattern
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const std::string filepath_reducedPattern = argv[2];
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PatternGeometry reducedPattern(filepath_reducedPattern);
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reducedPattern.setLabel(
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std::filesystem::path(filepath_reducedPattern).stem().string());
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reducedPattern.scale(0.03,3);
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// Set the optization settings
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ReducedModelOptimizer::xRange beamWidth{"B", 0.5, 1.5};
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ReducedModelOptimizer::xRange beamDimensionsRatio{"bOverh", 0.7, 1.3};
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ReducedModelOptimizer::xRange beamE{"E", 0.1, 1.9};
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ReducedModelOptimizer::xRange innerHexagonSize{"HexSize", 0.1, 0.8};
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ReducedModelOptimizer::xRange innerHexagonAngle{"HexAngle", -29.5, 29.5};
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ReducedModelOptimizer::Settings settings_optimization;
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settings_optimization.xRanges = {beamWidth, beamDimensionsRatio, beamE,
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innerHexagonSize, innerHexagonAngle};
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const bool input_numberOfFunctionCallsDefined = argc >= 4;
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settings_optimization.numberOfFunctionCalls =
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input_numberOfFunctionCallsDefined ? std::atoi(argv[3]) : 100;
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settings_optimization.normalizationStrategy =
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ReducedModelOptimizer::Settings::NormalizationStrategy::Epsilon;
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settings_optimization.normalizationParameter = 0.0003;
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settings_optimization.solutionAccuracy = 0.01;
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// Optimize pair
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const std::string pairName =
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fullPattern.getLabel() + "@" + reducedPattern.getLabel();
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const std::vector<size_t> numberOfNodesPerSlot{1, 0, 0, 2, 1, 2, 1};
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ReducedModelOptimizer optimizer(numberOfNodesPerSlot);
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optimizer.initializePatterns(fullPattern, reducedPattern, {});
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ReducedModelOptimizer::Results optimizationResults =
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optimizer.optimize(settings_optimization);
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// Export results
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const bool input_resultDirectoryDefined = argc >= 5;
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std::string optimizationResultsDirectory =
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input_resultDirectoryDefined ? argv[4] : std::filesystem::current_path().append("OptimizationResults");
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std::string resultsOutputDir;
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if (optimizationResults.numberOfSimulationCrashes != 0) {
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const auto crashedJobsDirPath =
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std::filesystem::path(optimizationResultsDirectory)
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.append("CrashedJobs")
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.append(pairName);
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std::filesystem::create_directories(crashedJobsDirPath);
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resultsOutputDir = crashedJobsDirPath.string();
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} else {
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std::filesystem::path convergedJobsDirPath(
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std::filesystem::path(optimizationResultsDirectory)
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.append("ConvergedJobs")
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.append(pairName));
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std::filesystem::create_directories(convergedJobsDirPath);
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resultsOutputDir = convergedJobsDirPath.string();
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}
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optimizationResults.save(resultsOutputDir);
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// Write results in csv
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csvFile csv_results({}, false);
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// csvFile csv_results(std::filesystem::path(dirPath_thisOptimization)
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// .append("results.csv")
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// .string(),
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// false);
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csv_results << "Name";
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optimizationResults.writeHeaderTo(settings_optimization, csv_results);
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settings_optimization.writeHeaderTo(csv_results);
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csv_results << endrow;
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csv_results << pairName;
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optimizationResults.writeResultsTo(settings_optimization, csv_results);
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settings_optimization.writeSettingsTo(csv_results);
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csv_results << endrow;
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// optimizationResults.draw();
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return 0;
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}
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