def __init__(self, *args, **kwargs):
#if len(args) > 1: self.err('incorrect args number for GLP constructor, must be 0..1 + (optionaly) some kwargs')
NonLinProblem.__init__(self, *args, **kwargs)
def maxNonSuccess(p):
newPoint = p.point(p.xk)
if self._currentBestPoint is None:
self._currentBestPoint = newPoint
return False
elif newPoint.betterThan(self._currentBestPoint):
self._currentBestPoint = newPoint
self._nonSuccessCounter = 0
return False
self._nonSuccessCounter += 1
if self._nonSuccessCounter > self.maxNonSuccess:
return (True, 'Non-Success Number > maxNonSuccess = ' + str(self.maxNonSuccess))
else:
return False
self.kernelIterFuncs[MAX_NON_SUCCESS] = maxNonSuccess
if 'lb' in kwargs.keys():
self.n = len(kwargs['lb'])
elif 'ub' in kwargs.keys():
self.n = len(kwargs['ub'])
if hasattr(self, 'n'):
if not hasattr(self, 'lb'):
self.lb = -inf * ones(self.n)
if not hasattr(self, 'ub'):
self.ub = inf * ones(self.n)
if 'x0' not in kwargs and len(args) < 2:
self.x0 = (asarray(self.lb) + asarray(self.ub)) / 2.0
def __init__(self, *args, **kwargs):
NonLinProblem.__init__(self, *args, **kwargs)
domain = args[1]
self.x0 = dict([(v, 0.5*(val[0]+val[1])) for v, val in domain.items()])
self.constraints = [v>bounds[0] for v, bounds in domain.items()] + [v<bounds[1] for v, bounds in domain.items()]
#self.data4TextOutput = ['objFunVal', 'residual']
self._Residual = inf
def __init__(self, *args, **kwargs):
NonLinProblem.__init__(self, *args, **kwargs)
self.nSolutions = 'all'
self.kernelIterFuncs.pop(SMALL_DELTA_X, None)
self.kernelIterFuncs.pop(SMALL_DELTA_F, None)
self.data4TextOutput = ['front length', 'income', 'outcome', 'log10(maxResidual)']
f = self.f
i = 0
targets = []
while True:
if len(f[i:]) == 0: break
func = f[i]
if type(func) in (list, tuple):
F, tol, val = func
i += 1
else:
F, tol, val = f[i], f[i+1], f[i+2]
i += 3
t = target()
t.func, t.tol = F, tol
t.val = val if type(val) != str \
else inf if val in ('max', 'maximum') \
else -inf if val in ('min', 'minimum') \
else self.err('incorrect MOP func target')
targets.append(t)
self.targets = targets
self.f = [t.func for t in targets]
self.user.f = self.f
def __init__(self, *args, **kwargs):
#if len(args) > 1: self.err('incorrect args number for GLP constructor, must be 0..1 + (optionaly) some kwargs')
NonLinProblem.__init__(self, *args, **kwargs)
def maxNonSuccess(p):
newPoint = p.point(p.xk)
if self._currentBestPoint is None:
self._currentBestPoint = newPoint
return False
elif newPoint.betterThan(self._currentBestPoint):
self._currentBestPoint = newPoint
self._nonSuccessCounter = 0
return False
self._nonSuccessCounter += 1
if self._nonSuccessCounter > self.maxNonSuccess:
return (True, 'Non-Success Number > maxNonSuccess = ' +
str(self.maxNonSuccess))
else:
return False
self.kernelIterFuncs[MAX_NON_SUCCESS] = maxNonSuccess
if 'lb' in kwargs.keys():
self.n = len(kwargs['lb'])
elif 'ub' in kwargs.keys():
self.n = len(kwargs['ub'])
if hasattr(self, 'n'):
if not hasattr(self, 'lb'):
self.lb = -inf * ones(self.n)
if not hasattr(self, 'ub'):
self.ub = inf * ones(self.n)
if 'x0' not in kwargs and len(args) < 2:
self.x0 = (asarray(self.lb) + asarray(self.ub)) / 2.0
def __init__(self, *args, **kwargs):
NonLinProblem.__init__(self, *args, **kwargs)
domain = args[1]
self.x0 = dict([(v, 0.5 * (val[0] + val[1])) for v, val in domain.items()])
self.constraints = [v > bounds[0] for v, bounds in domain.items()] + [
v < bounds[1] for v, bounds in domain.items()
]
# self.data4TextOutput = ['objFunVal', 'residual']
self._Residual = inf
def __init__(self, *args, **kwargs):
NonLinProblem.__init__(self, *args, **kwargs)
assignScript(self, kwargs)
self.fff = self.f
def ff(x):
r = []
for i in range(self.Y.shape[0]):
r.append(asfarray(self.fff(x, self.X[i])-self.Y[i])**2)
return r
self.f = ff
def __init__(self, *args, **kwargs):
NonLinProblem.__init__(self, *args, **kwargs)
domain= args[1]
self.x0 = domain
def __init__(self, *args, **kwargs):
NonLinProblem.__init__(self, *args, **kwargs)
if 'is_oovar' in dir(self.f):
self.f = [self.f]
def __init__(self, *args, **kwargs):
self.goal = 'minimum'
self.discreteVars = {}
NonLinProblem.__init__(self, *args, **kwargs)
self.iprint = 1
def __init__(self, *args, **kwargs):
self.goal = 'minimum'
NonLinProblem.__init__(self, *args, **kwargs)
def __init__(self, *args, **kwargs):
NonLinProblem.__init__(self, *args, **kwargs)
def __init__(self, *args, **kwargs):
NonLinProblem.__init__(self, *args, **kwargs)
def __init__(self, *args, **kwargs):
self.goal = 'minimum'
self.discreteVars = {}
NonLinProblem.__init__(self, *args, **kwargs)
self.iprint=1
def __init__(self, *args, **kwargs):
self.goal = 'minimum'
NonLinProblem.__init__(self, *args, **kwargs)
def __init__(self, *args, **kwargs):
NonLinProblem.__init__(self, *args, **kwargs)
domain = args[1]
self.x0 = domain
def __init__(self, *args, **kwargs):
NonLinProblem.__init__(self, *args, **kwargs)
if 'is_oovar' in dir(self.f):
self.f = [self.f]
