#!/usr/bin/env python
# -*- coding: utf-8 -*-

''' Test the dynmaic linear scaling decorator of GA engine.
'''

import unittest
from math import sin, cos

from .. import GAEngine
from ..components import BinaryIndividual
from ..components import Population
from ..operators import RouletteWheelSelection
from ..operators import UniformCrossover
from ..operators import FlipBitMutation


class DynamicLinearScalingTest(unittest.TestCase):

    def setUp(self):
        self.maxDiff = True

    def test_run(self):
        '''
        Make sure GA engine can run correctly.
        '''
        indv_template = BinaryIndividual(ranges=[(0, 10)], eps=0.001)
        population = Population(indv_template=indv_template, size=50).init()

        # Create genetic operators.
        selection = RouletteWheelSelection()
        crossover = UniformCrossover(pc=0.8, pe=0.5)
        mutation = FlipBitMutation(pm=0.1)

        # Create genetic algorithm engine.
        engine = GAEngine(population=population, selection=selection,
                          crossover=crossover, mutation=mutation)

        @engine.fitness_register
        @engine.dynamic_linear_scaling()
        def fitness(indv):
            x, = indv.solution
            return x + 10*sin(5*x) + 7*cos(4*x)

        engine.run(50)

if '__main__' == __name__:
    suite = unittest.TestLoader().loadTestsFromTestCase(DynamicLinearScalingTest)
    unittest.TextTestRunner(verbosity=2).run(suite)


#!/usr/bin/env python
# -*- coding: utf-8 -*-

''' Test the dynmaic linear scaling decorator of GA engine.
'''

import unittest
from math import sin, cos

from .. import GAEngine
from ..components import BinaryIndividual
from ..components import Population
from ..operators import RouletteWheelSelection
from ..operators import UniformCrossover
from ..operators import FlipBitMutation


class DynamicLinearScalingTest(unittest.TestCase):

    def setUp(self):
        self.maxDiff = True

    def test_run(self):
        '''
        Make sure GA engine can run correctly.
        '''
        indv_template = BinaryIndividual(ranges=[(0, 10)], eps=0.001)
        population = Population(indv_template=indv_template, size=50).init()

        # Create genetic operators.
        selection = RouletteWheelSelection()
        crossover = UniformCrossover(pc=0.8, pe=0.5)
        mutation = FlipBitMutation(pm=0.1)

        # Create genetic algorithm engine.
        engine = GAEngine(population=population, selection=selection,
                          crossover=crossover, mutation=mutation)

        @engine.fitness_register
        @engine.dynamic_linear_scaling()
        def fitness(indv):
            x, = indv.solution
            return x + 10*sin(5*x) + 7*cos(4*x)

        engine.run(50)

if '__main__' == __name__:
    suite = unittest.TestLoader().loadTestsFromTestCase(DynamicLinearScalingTest)
    unittest.TextTestRunner(verbosity=2).run(suite)


#!/usr/bin/env python # -*- coding: utf-8 -*- Test the dynmaic linear scaling decorator of GA engine. Make sure GA engine can run correctly. # Create genetic operators. # Create genetic algorithm engine.