diff --git a/src/main.cpp b/src/main.cpp index 91d7354..b6f9446 100644 --- a/src/main.cpp +++ b/src/main.cpp @@ -121,15 +121,14 @@ int main(int argc, char *argv[]) { ReducedModelOptimizer optimizer(numberOfNodesPerSlot); optimizer.initializePatterns(*patternPairs[patternPairIndex].first, *patternPairs[patternPairIndex].second, - optimizationSpaceSamplingDisplacements, - optimizationExcludedEi); + optimizationExcludedEi); // optimizer.optimize({ReducedModelOptimizer::Axial}); ReducedModelOptimizer::Results optimizationResults = optimizer.optimize(settings); totalError += optimizationResults.objectiveValue; resultsPerPattern[patternPairIndex] = - std::make_pair(pPattern->getLabel(), optimizationResults); + std::make_pair(patternPairs[patternPairIndex].first->getLabel(), optimizationResults); totalNumberOfSimulationCrashes += optimizationResults.numberOfSimulationCrashes; // std::cout << "Have optimized " << ++patternsOptimized << "/" diff --git a/src/reducedmodeloptimizer.cpp b/src/reducedmodeloptimizer.cpp index e55c567..ab5025f 100644 --- a/src/reducedmodeloptimizer.cpp +++ b/src/reducedmodeloptimizer.cpp @@ -8,7 +8,6 @@ #include struct GlobalOptimizationVariables { - const bool gShouldDraw = true; std::vector g_optimalReducedModelDisplacements; std::vector g_fullPatternSimulationJob; std::vector> g_reducedPatternSimulationJob; @@ -20,22 +19,21 @@ struct GlobalOptimizationVariables { std::vector gObjectiveValueHistory; Eigen::Vector2d g_initialX; std::unordered_set g_reducedPatternExludedEdges; - // double g_initialParameters; Eigen::VectorXd g_initialParameters; std::vector g_simulationScenarioIndices; std::vector g_innerHexagonVectors{6, VectorType(0, 0, 0)}; - double g_innerHexagonInitialPos = 0; + double g_innerHexagonInitialPos{0}; bool g_optimizeInnerHexagonSize{false}; std::vector firstOptimizationRoundResults; int g_firstRoundIterationIndex{0}; - double minY{std::numeric_limits::max()}; + double minY{DBL_MAX}; std::vector minX; std::vector> failedSimulationsXRatio; int numOfSimulationCrashes{false}; int numberOfFunctionCalls{0}; } global; -#pragma omp threadprivate(global) +//#pragma omp threadprivate(global) // struct OptimizationCallback { // double operator()(const size_t &iterations, const Eigen::VectorXd &x, // const double &fval, Eigen::VectorXd &gradient) const {