def __init__(self, **kwargs):
pm.OptimizationProblem.__init__(self, **kwargs)
self.ub = array([5.12, 5.12])
self.lb = -1 * self.ub
self.minimize = True
self.visualiser = pm.TwoDFunVisualiser(fun=self.costfun,
lb=self.lb,
ub=self.ub,
step=(self.ub - self.lb) /
100.0)
self.__dict__.update(**kwargs)
def __init__(self, **kwargs):
pm.OptimizationProblem.__init__(self) # inherit
self.ub = array([30, 30]) # #defaults
self.lb = array([-15, -15])
self.name = 'Ackley'
self.minimize = True
self.visualiser = pm.TwoDFunVisualiser(fun=self.costfun,
lb=self.lb,
ub=self.ub,
step=(self.ub - self.lb) /
100.0)
self.__dict__.update(**kwargs) # #overwrite
def __init__(self, **kwargs):
pm.OptimizationProblem.__init__(self) # inherit
self.ub = array([2.048, 2.048]) # #defaults
self.lb = -1 * self.ub
self.name = 'Rosenbrock'
self.minimize = True
self.visualiser = pm.TwoDFunVisualiser(fun=self.costfun,
lb=self.lb,
ub=self.ub,
step=(self.ub - self.lb) /
100.0)
self.__dict__.update(**kwargs) # #overwrite
def __init__(self, **kwargs):
pm.OptimizationProblem.__init__(self) # inherit
self.ub = array([511.97, 511.97]) # #defaults
self.lb = -1 * array([512.03, 512.03])
self.name = 'Schwefel'
self.minimize = True
self.visualiser = pm.TwoDFunVisualiser(fun=self.costfun,
lb=self.lb,
ub=self.ub,
step=(self.ub - self.lb) /
100.0)
self.__dict__.update(**kwargs) # #overwrite
def __init__(self, **kwargs):
pm.OptimizationProblem.__init__(self) # inherit
self.ub = array([5.12, 5.12]) # #defaults
self.lb = -1 * self.ub
self.name = 'Rastrigin'
self.optimum = 0.0
self.optimumsol = np.zeros_like(self.ub)
self.visualiser = pm.TwoDFunVisualiser(fun=self.cost,
lb=self.lb,
ub=self.ub,
step=(self.ub - self.lb) /
100.0)
self.__dict__.update(**kwargs) # #overwrite
self.minimize = True