def test_works_fine(self):
fa = self.algo(NP=20,
alpha=0.5,
betamin=0.2,
gamma=1.0,
seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, fa, Sphere())
def test_custom_works_fine(self):
ba_custom = self.algo(NP=20,
A=0.5,
r=0.5,
Qmin=0.0,
Qmax=2.0,
seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ba_custom, Sphere())
def test_reulete_selection_c(self):
ga_crmt = self.algo(NP=40,
Ts=4,
Mr=0.05,
Cr=0.4,
Selection=roulette_selection,
seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ga_crmt, Sphere())
def test_custom1_works_fine(self):
es1_custom = self.algo(mu=55,
lam=45,
k=50,
c_a=1.1,
c_r=0.5,
seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, es1_custom, Sphere())
def test_multi_point_crossover_fine_c(self):
ga_mpcr = self.algo(NP=40,
Ts=4,
Mr=0.05,
Cr=4,
Crossover=multi_point_crossover,
seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ga_mpcr, Sphere())
def test_creep_mutation_fine_c(self):
ga_crmt = self.algo(NP=40,
Ts=4,
Mr=0.05,
Cr=0.4,
Mutation=creep_mutation,
seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ga_crmt, Sphere())
def test_mutation_urso_c(self):
ga_crmt = self.algo(NP=40,
Ts=4,
Mr=0.05,
Cr=0.4,
Mutation=mutation_uros,
seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ga_crmt, Sphere())
def test_crossover_urso_c(self):
ga_crmt = self.algo(NP=40,
Ts=4,
Mr=0.05,
Cr=0.4,
Crossover=crossover_uros,
seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ga_crmt, Sphere())
def test_custom_works_fine(self):
wvcpso_custom = self.algo(n=40,
C1=2.0,
C2=2.0,
w=0.7,
min_velocity=-4,
max_velocity=4,
seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, wvcpso_custom, Sphere())
def test_custom_works_fine(self):
pso_custom = self.algo(NP=40,
C1=2.0,
C2=2.0,
w=0.7,
vMin=-4,
vMax=4,
seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, pso_custom, Sphere())
def test_FA_evals_fine(self):
task = StoppingTask(d=10,
no_fes=1000,
opt_type=OptimizationType.MINIMIZATION,
benchmark=Sphere())
algo = FireflyAlgorithm(n=25)
algo.run_task(task)
evals = task.evals()
self.assertEqual(1000, evals)
def test_BA_iters_to_fes(self):
task = StoppingTask(d=10,
no_gen=1000,
opt_type=OptimizationType.MINIMIZATION,
benchmark=Sphere())
algo = BatAlgorithm(n=10)
algo.run_task(task)
evals = task.evals()
self.assertEqual(10000, evals)
def test_BA_iters_fine(self):
task = StoppingTask(d=10,
no_gen=1000,
opt_type=OptimizationType.MINIMIZATION,
benchmark=Sphere())
algo = BatAlgorithm(n=25)
algo.run_task(task)
iters = task.iters()
self.assertEqual(1000, iters)
def test_DE_iters_fine(self):
task = StoppingTask(d=10,
no_gen=1000,
opt_type=OptimizationType.MINIMIZATION,
benchmark=Sphere())
algo = DifferentialEvolution(n=40, CR=0.9, F=0.5)
algo.run_task(task)
iters = task.iters()
self.assertEqual(1000, iters)
def test_custom_works_fine(self):
aba_custom = AdaptiveBatAlgorithm(n=40,
A=.75,
epsilon=2,
alpha=0.65,
r=0.7,
Qmin=0.0,
Qmax=2.0,
seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, aba_custom, Sphere())
def test_works_fine_parallel(self):
bea = self.algo(NP=20, m=15, e=4, nep=10, nsp=5, ngh=2, seed=self.seed)
beac = self.algo(NP=20,
m=15,
e=4,
nep=10,
nsp=5,
ngh=2,
seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, bea, beac,
Sphere())
def setUp(self):
self.D = 20
self.x, self.task = rnd.uniform(-2, 2,
self.D), Task(self.D,
nGEN=230,
nFES=np.inf,
benchmark=Sphere())
self.sol1, self.sol2, self.sol3 = MkeSolution(
x=self.x,
e=False), MkeSolution(task=self.task), MkeSolution(x=self.x,
e=False)
def test_Custom_works_fine_parallel(self):
es_custom = self.algo(mu=45,
lam=55,
k=50,
c_a=1.1,
c_r=0.5,
seed=self.seed)
es_customc = self.algo(mu=45,
lam=55,
k=50,
c_a=1.1,
c_r=0.5,
seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, es_custom,
es_customc, Sphere())
def test_two_point_crossover_fine_c_parallel(self):
ga_tpcr = self.algo(NP=40,
Ts=4,
Mr=0.05,
Cr=0.4,
Crossover=two_point_crossover,
seed=self.seed)
ga_tpcrc = self.algo(NP=40,
Ts=4,
Mr=0.05,
Cr=0.4,
Crossover=two_point_crossover,
seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, ga_tpcr, ga_tpcrc,
Sphere())
def test_custom_works_fine_parallel(self):
wvcpso_custom = ParticleSwarmAlgorithm(n=40,
C1=2.0,
C2=2.0,
w=0.7,
min_velocity=-4,
max_velocity=4,
seed=self.seed)
wvcpso_customc = ParticleSwarmAlgorithm(n=40,
C1=2.0,
C2=2.0,
w=0.7,
min_velocity=-4,
max_velocity=4,
seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, wvcpso_custom,
wvcpso_customc, Sphere())
def test_custom_works_fine_parallel(self):
clpso_custom = self.algo(n=40,
C1=2.0,
C2=2.0,
w=0.7,
min_velocity=-4,
max_velocity=4,
seed=self.seed)
clpso_customc = self.algo(n=40,
C1=2.0,
C2=2.0,
w=0.7,
min_velocity=-4,
max_velocity=4,
seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, clpso_custom,
clpso_customc, Sphere())
def test_Custom_works_fine_parallel(self):
hba_custom = self.algo(NP=40,
A=0.5,
r=0.5,
F=0.5,
CR=0.9,
Qmin=0.0,
Qmax=2.0,
seed=self.seed)
hba_customc = self.algo(NP=40,
A=0.5,
r=0.5,
F=0.5,
CR=0.9,
Qmin=0.0,
Qmax=2.0,
seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, hba_custom,
hba_customc, Sphere())
def test_works_fine_parallel(self):
mbo = self.algo(NP=20, PAR=5.0 / 12.0, PER=1.2, seed=self.seed)
mboc = self.algo(NP=20, PAR=5.0 / 12.0, PER=1.2, seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, mbo, mboc,
Sphere())
def test_custom_works_fine_parallel(self):
cs_custom = self.algo(NP=20, seed=self.seed)
cs_customc = self.algo(NP=20, seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, cs_custom,
cs_customc, Sphere())
def test_custom_works_fine(self):
cs_custom = self.algo(NP=20, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, cs_custom, Sphere())
def test_Custom_works_fine_parallel(self):
ga_custom = self.algo(NP=40, Ts=4, Mr=0.05, Cr=0.4, seed=self.seed)
ga_customc = self.algo(NP=40, Ts=4, Mr=0.05, Cr=0.4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, ga_custom,
ga_customc, Sphere())
def test_custom_works_fine(self):
ga_custom = self.algo(NP=40, Ts=4, Mr=0.05, Cr=0.4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ga_custom, Sphere())
def test_Custom_works_fine_parallel(self):
sca_custom = self.algo(NP=35, a=7, Rmin=0.1, Rmax=3, seed=self.seed)
sca_customc = self.algo(NP=35, a=7, Rmin=0.1, Rmax=3, seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, sca_custom,
sca_customc, Sphere())
def test_custom_works_fine(self): sade_custom = self.algo(n=10, C_a=2, C_r=0.5, seed=self.seed) AlgorithmTestCase.test_algorithm_run(self, sade_custom, Sphere())
def test_custom_works_fine_parallel(self): sadev1_custom = self.algo(n=10, C_a=2, C_r=0.5, seed=self.seed) sadev1_custom_c = self.algo(n=10, C_a=2, C_r=0.5, seed=self.seed) AlgorithmTestCase.test_algorithm_run_parallel(self, sadev1_custom, sadev1_custom_c, Sphere())