| adaptationFrequency() const | shark::RVEA | inline |
| adaptationFrequency() | shark::RVEA | inline |
| alpha() const | shark::RVEA | inline |
| alpha() | shark::RVEA | inline |
| approxMu() const | shark::RVEA | inline |
| approxMu() | shark::RVEA | inline |
| BOOST_SERIALIZATION_SPLIT_MEMBER() | shark::ISerializable | |
| CAN_SOLVE_CONSTRAINED enum value | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | |
| canSolveConstrained() const | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | inline |
| checkFeatures(ObjectiveFunctionType const &objectiveFunction) | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | inlineprotected |
| crossoverProbability() const | shark::RVEA | inline |
| crossoverProbability() | shark::RVEA | inline |
| doInit(std::vector< SearchPointType > const &initialSearchPoints, std::vector< ResultType > const &functionValues, RealVector const &lowerBounds, RealVector const &upperBounds, std::size_t const approx_mu, double const nm, double const nc, double const crossover_prob, double const alph, double const fr, std::size_t const max_iterations, std::vector< Preference > const &referenceVectorsPreferences=std::vector< Preference >()) | shark::RVEA | protected |
| Feature enum name | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | |
| FeatureNotAvailableException typedef | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | |
| features() const | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | inline |
| Features typedef | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | |
| generateOffspring() const | shark::RVEA | protected |
| IndividualType typedef | shark::RVEA | protected |
| init(ObjectiveFunctionType const &function, std::vector< SearchPointType > const &initialSearchPoints) | shark::RVEA | |
| AbstractMultiObjectiveOptimizer< RealVector >::init(ObjectiveFunctionType const &function) | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | inlinevirtual |
| AbstractMultiObjectiveOptimizer< RealVector >::init(ObjectiveFunctionType const &function, std::vector< SearchPointType > const &initPoints)=0 | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | pure virtual |
| initialReferenceVectors() const | shark::RVEA | inline |
| load(InArchive &archive, unsigned int version) | shark::ISerializable | inline |
| m_best | shark::AbstractMultiObjectiveOptimizer< RealVector > | protected |
| m_features | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | protected |
| m_parents | shark::RVEA | protected |
| maxIterations() const | shark::RVEA | inline |
| maxIterations() | shark::RVEA | inline |
| mu() const | shark::RVEA | inline |
| name() const | shark::RVEA | inlinevirtual |
| nc() const | shark::RVEA | inline |
| nc() | shark::RVEA | inline |
| nm() const | shark::RVEA | inline |
| nm() | shark::RVEA | inline |
| numInitPoints() const | shark::RVEA | inlinevirtual |
| ObjectiveFunctionType typedef | shark::AbstractMultiObjectiveOptimizer< RealVector > | |
| read(InArchive &archive) | shark::ISerializable | inlinevirtual |
| referenceVectors() const | shark::RVEA | inline |
| referenceVectors() | shark::RVEA | inline |
| REQUIRES_CLOSEST_FEASIBLE enum value | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | |
| REQUIRES_FIRST_DERIVATIVE enum value | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | |
| REQUIRES_SECOND_DERIVATIVE enum value | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | |
| REQUIRES_VALUE enum value | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | |
| requiresClosestFeasible() const | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | inline |
| requiresFirstDerivative() const | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | inline |
| requiresSecondDerivative() const | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | inline |
| requiresValue() const | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | inline |
| ResultType typedef | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | |
| RVEA(random::rng_type &rng=random::globalRng) | shark::RVEA | |
| save(OutArchive &archive, unsigned int version) const | shark::ISerializable | inline |
| SearchPointType typedef | shark::AbstractMultiObjectiveOptimizer< RealVector > | |
| serialize(Archive &archive) | shark::RVEA | inline |
| solution() const | shark::AbstractMultiObjectiveOptimizer< RealVector > | inlinevirtual |
| SolutionType typedef | shark::AbstractMultiObjectiveOptimizer< RealVector > | |
| step(ObjectiveFunctionType const &function) | shark::RVEA | |
| AbstractMultiObjectiveOptimizer< RealVector >::step(ObjectiveFunctionType const &function)=0 | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | pure virtual |
| suggestMu(std::size_t n, std::size_t const approx_mu) | shark::RVEA | static |
| updateFeatures() | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | inlinevirtual |
| updatePopulation(std::vector< IndividualType > const &offspringvec) | shark::RVEA | protected |
| willAdaptReferenceVectors() const | shark::RVEA | inline |
| write(OutArchive &archive) const | shark::ISerializable | inlinevirtual |
| ~AbstractOptimizer() | shark::AbstractOptimizer< PointType, ResultT, SolutionTypeT > | inlinevirtual |
| ~INameable() | shark::INameable | inlinevirtual |
| ~ISerializable() | shark::ISerializable | inlinevirtual |