def test_should_compute_density_estimator_work_properly_case3(self):
""" Case 3: The archive contains two solutions.
"""
archive = CrowdingDistanceArchive(4)
solution1 = Solution(2, 2)
solution1.objectives = [0.0, 3.0]
solution2 = Solution(2, 2)
solution2.objectives = [1.0, 2.0]
solution3 = Solution(2, 2)
solution3.objectives = [2.0, 1.5]
archive.add(solution1)
archive.add(solution2)
archive.add(solution3)
archive.compute_density_estimator()
self.assertEqual(3, archive.size())
self.assertEqual(float("inf"),
solution1.attributes["crowding_distance"])
self.assertEqual(float("inf"),
solution3.attributes["crowding_distance"])
self.assertTrue(
solution2.attributes["crowding_distance"] < float("inf"))
def test_should_compute_density_estimator_work_properly_case1(self):
""" Case 1: The archive contains one solution.
"""
archive = CrowdingDistanceArchive(4)
solution1 = Solution(2, 2)
solution1.objectives = [0.0, 3.0]
archive.add(solution1)
archive.compute_density_estimator()
self.assertEqual(1, archive.size())
self.assertEqual(float("inf"), solution1.attributes["crowding_distance"])
def test_should_compute_density_estimator_work_properly_case1(self):
""" Case 1: The archive contains one solution.
"""
archive = CrowdingDistanceArchive(4)
solution1 = Solution(2, 2)
solution1.objectives = [0.0, 3.0]
archive.add(solution1)
archive.compute_density_estimator()
self.assertEqual(1, archive.size())
self.assertEqual(float("inf"),
solution1.attributes["crowding_distance"])
def test_should_add_work_properly_case7(self):
""" Case 7: add a non-dominated solution when the archive is full should remove all the dominated solutions.
"""
archive = CrowdingDistanceArchive(4)
solution1 = Solution(2, 2)
solution1.objectives = [0.0, 3.0]
solution2 = Solution(2, 2)
solution2.objectives = [1.0, 2.0]
solution3 = Solution(2, 2)
solution3.objectives = [2.0, 1.5]
solution4 = Solution(2, 2)
solution4.objectives = [3.0, 0.0]
new_solution = Solution(2, 2)
new_solution.objectives = [-1.0, -1.0]
archive.add(solution1)
archive.add(solution2)
archive.add(solution3)
archive.add(solution4)
archive.add(new_solution)
self.assertEqual(1, archive.size())
self.assertTrue(new_solution in archive.solution_list)
def test_should_add_work_properly_case6(self):
""" Case 6: add a non-dominated solution when the archive is full should not include
the solution if it has the highest distance crowding value.
"""
archive = CrowdingDistanceArchive(4)
solution1 = Solution(2, 2)
solution1.objectives = [0.0, 3.0]
solution2 = Solution(2, 2)
solution2.objectives = [1.0, 2.0]
solution3 = Solution(2, 2)
solution3.objectives = [2.0, 1.5]
solution4 = Solution(2, 2)
solution4.objectives = [3.0, 0.0]
new_solution = Solution(2, 2)
new_solution.objectives = [1.1, 1.9]
archive.add(solution1)
archive.add(solution2)
archive.add(solution3)
archive.add(solution4)
archive.add(new_solution)
self.assertEqual(4, archive.size())
self.assertTrue(new_solution not in archive.solution_list)
def test_should_add_work_properly_case7(self):
""" Case 7: add a non-dominated solution when the archive is full should remove all the dominated solutions.
"""
archive = CrowdingDistanceArchive(4)
solution1 = Solution(2, 2)
solution1.objectives = [0.0, 3.0]
solution2 = Solution(2, 2)
solution2.objectives = [1.0, 2.0]
solution3 = Solution(2, 2)
solution3.objectives = [2.0, 1.5]
solution4 = Solution(2, 2)
solution4.objectives = [3.0, 0.0]
new_solution = Solution(2, 2)
new_solution.objectives = [-1.0, -1.0]
archive.add(solution1)
archive.add(solution2)
archive.add(solution3)
archive.add(solution4)
archive.add(new_solution)
self.assertEqual(1, archive.size())
self.assertTrue(new_solution in archive.solution_list)
def test_should_add_work_properly_case6(self):
""" Case 6: add a non-dominated solution when the archive is full should not include
the solution if it has the highest distance crowding value.
"""
archive = CrowdingDistanceArchive(4)
solution1 = Solution(2, 2)
solution1.objectives = [0.0, 3.0]
solution2 = Solution(2, 2)
solution2.objectives = [1.0, 2.0]
solution3 = Solution(2, 2)
solution3.objectives = [2.0, 1.5]
solution4 = Solution(2, 2)
solution4.objectives = [3.0, 0.0]
new_solution = Solution(2, 2)
new_solution.objectives = [1.1, 1.9]
archive.add(solution1)
archive.add(solution2)
archive.add(solution3)
archive.add(solution4)
archive.add(new_solution)
self.assertEqual(4, archive.size())
self.assertTrue(new_solution not in archive.solution_list)
def test_should_compute_density_estimator_work_properly_case3(self):
""" Case 3: The archive contains two solutions.
"""
archive = CrowdingDistanceArchive(4)
solution1 = Solution(2, 2)
solution1.objectives = [0.0, 3.0]
solution2 = Solution(2, 2)
solution2.objectives = [1.0, 2.0]
solution3 = Solution(2, 2)
solution3.objectives = [2.0, 1.5]
archive.add(solution1)
archive.add(solution2)
archive.add(solution3)
archive.compute_density_estimator()
self.assertEqual(3, archive.size())
self.assertEqual(float("inf"), solution1.attributes["crowding_distance"])
self.assertEqual(float("inf"), solution3.attributes["crowding_distance"])
self.assertTrue(solution2.attributes["crowding_distance"] < float("inf"))