def wrapper(self,candidates,args):
"""
Converts the ``ndarray`` object into a ``list`` and passes it to the fitness function.
:param candidates: the ``ndarray`` object
:param args: optional parameters to be passed to the fitness function
:return: the return value of the fitness function
"""
tmp=ndarray.tolist(candidates)
candidates=self.bounder(tmp,args)
return self.ffun([candidates],args)[0]
def wrapper(self,candidates,args):
"""
Converts the ``ndarray`` object into a ``list`` and passes it to the fitness function.
:param candidates: the ``ndarray`` object
:param args: optional parameters to be passed to the fitness function
:return: the return value of the fitness function
"""
tmp=ndarray.tolist(candidates)
candidates=self.bounder(tmp,args)
return self.ffun([candidates],args)[0]
def __init__(self,vals, fitn=-1):
self.candidate=ndarray.tolist(vals)
self.candidate.extend(vals)
self.fitness=fitn
def __init__(self,vals, fitn=-1):
self.candidate=ndarray.tolist(vals)
self.candidate.extend(vals)
self.fitness=fitn
