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): 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): self.goal = 'minimum' self.discreteVars = {} NonLinProblem.__init__(self, *args, **kwargs) self.iprint=1
def __init__(self, *args, **kwargs): NonLinProblem.__init__(self, *args, **kwargs) domain = args[1] self.x0 = domain