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]