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#include <fstream>
#include <dart/common/Console.hpp>
#include <dart/common/Memory.hpp>
#include <dart/config.hpp>
#include <dart/optimizer/Function.hpp>
#include <dart/optimizer/GenericMultiObjectiveProblem.hpp>
#include <dart/optimizer/MultiObjectiveSolver.hpp>
#include <gtest/gtest.h>
#if HAVE_PAGMO
# include <dart/optimizer/pagmo/pagmo.hpp>
#endif
using namespace dart;
using namespace dart::optimizer;
using dart::optimizer::Function;
using dart::optimizer::FunctionPtr;
using dart::optimizer::UniqueFunctionPtr;
//==============================================================================
static int dimension = 10;
static Eigen::VectorXd lowerLimits = Eigen::VectorXd::Zero(dimension);
static Eigen::VectorXd upperLimits = Eigen::VectorXd::Constant(dimension, 1.0);
class ZDT1 : public MultiObjectiveProblem
{
public:
ZDT1() : MultiObjectiveProblem(dimension)
{
// Do nothing
}
std::size_t getObjectiveDimension() const override
{
return 2u;
}
Eigen::VectorXd evaluateObjectives(const Eigen::VectorXd& x) const override
{
Eigen::VectorXd ret(getObjectiveDimension());
ret[0] = x[0];
const double g = 1.0 + 9 * (x.sum() - x[0]) / double(dimension - 1);
ret[1] = g * (1.0 - std::sqrt(x[0] / g));
return ret;
}
protected:
};
//==============================================================================
class Func1 : public Function
{
public:
Func1() = default;
double eval(const Eigen::VectorXd& x) override
{
return x[0];
}
UniqueFunctionPtr clone() const
{
return std::make_unique<Func1>(*this);
}
std::size_t getParameterDimension() const
{
return 1u;
}
};
//==============================================================================
class Func2 : public Function
{
public:
Func2() = default;
double eval(const Eigen::VectorXd& x) override
{
double g = 1.0 + 9 * (x.sum() - x[0]) / double(dimension - 1);
return g * (1.0 - std::sqrt(x[0] / g));
}
UniqueFunctionPtr clone() const
{
return std::make_unique<Func2>(*this);
}
std::size_t getParameterDimension() const
{
return 1u;
}
};
//==============================================================================
void testZDT1(MultiObjectiveSolver& solver)
{
#ifdef NDEBUG // release mode
std::size_t numSolutions = 50;
#else
std::size_t numSolutions = 10;
#endif
#ifdef NDEBUG // release mode
std::size_t iterationNum = 1000;
#else
std::size_t iterationNum = 200;
#endif
auto problem = std::make_shared<ZDT1>();
problem->setLowerBounds(lowerLimits);
problem->setUpperBounds(upperLimits);
solver.setProblem(problem);
solver.setPopulationSize(numSolutions);
solver.setNumPopulations(100);
solver.setNumIterationsPerEvolution(iterationNum);
solver.solve(100);
EXPECT_TRUE(solver.getPopulation(0).getSize() == numSolutions);
EXPECT_TRUE(solver.getPopulation(1).getSize() == numSolutions);
EXPECT_TRUE(solver.getNumPopulations() == 100);
}
//==============================================================================
void testZDT1Generic(MultiObjectiveSolver& solver)
{
auto pFunc1 = std::make_shared<Func1>();
auto pFunc2 = std::make_shared<Func2>();
std::vector<FunctionPtr> pFuncs;
pFuncs.push_back(pFunc1);
pFuncs.push_back(pFunc2);
#ifdef NDEBUG // release mode
std::size_t numSolutions = 50;
#else
std::size_t numSolutions = 10;
#endif
#ifdef NDEBUG // release mode
std::size_t iterationNum = 1000;
#else
std::size_t iterationNum = 200;
#endif
auto problem
= std::make_shared<optimizer::GenericMultiObjectiveProblem>(dimension);
problem->setObjectiveFunctions(pFuncs);
problem->setLowerBounds(lowerLimits);
problem->setUpperBounds(upperLimits);
solver.setProblem(problem);
solver.setPopulationSize(numSolutions);
solver.setNumPopulations(100);
solver.setNumIterationsPerEvolution(iterationNum);
solver.solve(100);
EXPECT_TRUE(solver.getPopulation(0).getSize() == numSolutions);
EXPECT_TRUE(solver.getPopulation(1).getSize() == numSolutions);
EXPECT_TRUE(solver.getNumPopulations() == 100);
}
//==============================================================================
TEST(ZDT1, Basic)
{
#if HAVE_PAGMO
PagmoMultiObjectiveSolver pagmoSolver;
testZDT1(pagmoSolver);
testZDT1Generic(pagmoSolver);
#endif
}
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