def __init__(self):
Benchmark.__init__(self, -10, 10)
def function(self):
def evaluate(D, sol):
val = 0.0
for i in range(D):
val += sol[i]**2
return val
return evaluate
runner = Runner(D=40,
nFES=100,
nRuns=2,
useAlgorithms=[
GreyWolfOptimizer(), "FlowerPollinationAlgorithm",
ParticleSwarmAlgorithm(), "HybridBatAlgorithm",
"SimulatedAnnealing", "CuckooSearch"
],
useBenchmarks=[
Ackley(),
Griewank(),
Sphere(),
HappyCat(), "rastrigin",
MyBenchmark()
])
runner.run(export='json', verbose=True)
Ackley,
Griewank,
Sphere,
HappyCat
)
"""Example demonstrating the use of NiaPy Runner."""
runner = Runner(
D=40,
nFES=100,
nRuns=2,
useAlgorithms=[
GreyWolfOptimizer(),
"FlowerPollinationAlgorithm",
ParticleSwarmAlgorithm(),
"HybridBatAlgorithm",
"SimulatedAnnealing",
"CuckooSearch"],
useBenchmarks=[
Ackley(),
Griewank(),
Sphere(),
HappyCat(),
"rastrigin"]
)
print(runner.run(verbose=True))
def __init__(self):
Benchmark.__init__(self, -10, 10)
def function(self):
def evaluate(D, sol):
val = 0.0
for i in range(D):
val += sol[i]**2
return val
return evaluate
runner = Runner(D=40,
nFES=100,
nRuns=2,
useAlgorithms=[
GreyWolfOptimizer(), "FlowerPollinationAlgorithm",
ParticleSwarmAlgorithm(), "HybridBatAlgorithm",
"SimulatedAnnealing", "CuckooSearch"
],
useBenchmarks=[
Ackley(),
Griewank(),
Sphere(),
HappyCat(), "rastrigin",
MyBenchmark()
])
runner.run(export='dataframe', verbose=True)