Esempio n. 1
0
    def test_move_one_values(self):
        """Test move."""
        class Random(object):
            def random(self):
                return 1

        info = Information(position=matrix([1, 1, 1]), fitness=5)
        binfo = Information(position=matrix([1, 1, 1]), fitness=5)
        velocity = matrix([1, 1, 1])

        config = {}
        config['inertial_weight'] = 1
        config['cognition'] = 1
        config['social'] = 1
        config['random'] = Random()
        env = Environment(config)

        particle = PSOParticle(environment=env,
                               current=info, best=binfo, velocity=velocity)
        new_info = particle.move()
        assert (particle.velocity == matrix([1, 1, 1])).all()
        assert (new_info.position == matrix([2, 2, 2])).all()
Esempio n. 2
0
    def test_move_defined_values(self):
        """Test move."""
        class Random(object):
            def random(self):
                return 1

        config = {
            'inertial_weight': 1,
            'cognition': 1,
            'social': 1,
            'random': Random(),
            'base': matrix([
                [0, 0, 0],   # beacon 1
                [7, 5, 0],   # beacon 2
                [5, -4, 0],  # beacon 3
            ]),
            'radius': matrix([
                3.024,   # beacon 1
                6.4,     # beacon 2
                6.63,  # beacon 3
            ])
        }
        env = Environment(config)

        particle = PSOParticle(environment=env,
                               current=Information(position=matrix([1, 1, 1])))
        particle.fitness()
        assert 20.14 < particle.best.fitness < 20.15

        particle.move()
        assert (particle.current.position == matrix([2, 2, 2])).all()

        particle.fitness()
        assert 10.85 < particle.best.fitness < 10.86

        particle.move()
        assert (particle.current.position == matrix([3, 3, 3])).all()

        particle.fitness()
        assert 47.85 < particle.current.fitness < 47.86
        assert 10.85 < particle.best.fitness < 10.86

        particle.move()
        assert (particle.current.position == matrix([2, 2, 2])).all()