def __init__(self, **kwargs):
if kwargs.get('name', None) == None:
Algorithm.__init__(self,
name='GlowwormSwarmOptimization',
sName='GSO',
**kwargs)
else:
Algorithm.__init__(self, **kwargs)
def __init__(self, **kwargs):
if kwargs.get('name', None) == None:
Algorithm.__init__(self,
name='(1+1)-EvolutionStrategy',
sName='(1+1)-ES',
**kwargs)
else:
Algorithm.__init__(self, **kwargs)
def __init__(self, **kwargs):
r"""**__init__(self, D, NP, nFES, A, r, Qmin, Qmax, benchmark)**.
**See**:
Algorithm.__init__(self, **kwargs)
"""
if kwargs.get('name', None) == None: Algorithm.__init__(self, name=kwargs.get('name', 'BatAlgorithm'), sName=kwargs.get('sName', 'BA'), **kwargs)
else: Algorithm.__init__(self, **kwargs)
def __init__(self, **kwargs):
if kwargs.get('name', None) == None:
Algorithm.__init__(self,
name='MonkeyKingEvolutionV1',
sName='MKEv1',
**kwargs)
else:
Algorithm.__init__(self, **kwargs)
def __init__(self, **kwargs):
if kwargs.get('name', None) == None:
Algorithm.__init__(self,
name=kwargs.get('name', 'FireworksAlgorithm'),
sName=kwargs.get('sName', 'FWA'),
**kwargs)
else:
Algorithm.__init__(self, **kwargs)
def __init__(self, **kwargs):
if kwargs.get('name', None) == None:
Algorithm.__init__(self,
name=kwargs.get(
'name', 'DifferentialEvolutionAlgorithm'),
sName=kwargs.get('sName', 'DE'),
**kwargs)
else:
Algorithm.__init__(self, **kwargs)
def __init__(self, **kwargs):
r"""Init Simulated Annealing Algorithm.
**See**:
Algorithm.__init__(self, **kwargs)
"""
Algorithm.__init__(self,
name='SimulatedAnnealing',
sName='BBFA',
**kwargs)
def __init__(self, **kwargs):
"""**__init__(self, D, NP, nFES, benchmark)**.
**See**:
Algorithm.__init__(self, **kwargs)
"""
Algorithm.__init__(self,
name='ArtificialBeeColonyAlgorithm',
sName='ABC',
**kwargs)
def __init__(self, **kwargs):
r"""Initialize Iterative Hillclimb algorithm class.
**See**:
Algorithm.__init__(self, **kwargs)
"""
Algorithm.__init__(self,
name='HillClimbAlgorithm',
sName='BBFA',
**kwargs)
def __init__(self, **kwargs):
Algorithm.__init__(self, name='CamelAlgorithm', sName='CA', **kwargs)
def __init__(self, **kwargs):
Algorithm.__init__(self,
name='FlowerPollinationAlgorithm',
sName='FPA',
**kwargs)
def __init__(self, **kwargs):
Algorithm.__init__(self,
name='BareBonesFireworksAlgorithm',
sName='BBFA',
**kwargs)
def __init__(self, **kwargs):
if kwargs.get('name', None) == None:
Algorithm.__init__(self, name='KrillHerd', sName='KH', **kwargs)
else:
Algorithm.__init__(self, **kwargs)
def __init__(self, **kwargs):
Algorithm.__init__(self,
name='ParticleSwarmAlgorithm',
sName='PSO',
**kwargs)
def __init__(self, **kwargs):
if kwargs.get('name', None) is None: Algorithm.__init__(self, name='MultipleTrajectorySearch', sName='MTS', **kwargs)
else: Algorithm.__init__(self, **kwargs)
self.LSs = [MTS_LS1, MTS_LS2, MTS_LS3]
def __init__(self, **kwargs): Algorithm.__init__(self, name='HarmonySearch', sName='HS', **kwargs) def setParameters(self, HMS=30, r_accept=0.7, r_pa=0.35, b_range=1.42, **ukwargs):
def __init__(self, **kwargs): Algorithm.__init__(self, name='GeneticAlgorithm', sName='GA', **kwargs) def setParameters(self, NP=25, Ts=5, Mr=0.25, Cr=0.25, Selection=TurnamentSelection, Crossover=UniformCrossover, Mutation=UniformMutation, **ukwargs):
def __init__(self, **kwargs):
Algorithm.__init__(self, name='FireflyAlgorithm', sName='FA', **kwargs)
def __init__(self, **kwargs):
Algorithm.__init__(self,
name='GreyWolfOptimizer',
sName='GWO',
**kwargs)
def __init__(self, **kwargs):
Algorithm.__init__(self,
name='SineCosineAlgorithm',
sName='SCA',
**kwargs)
def __init__(self, **kwargs):
Algorithm.__init__(self,
name='NelderMeadMethod',
sName='NMM',
**kwargs)
def __init__(self, **kwargs):
Algorithm.__init__(self, **kwargs)
self.LSs = [MTS_LS1, MTS_LS2, MTS_LS3]
