def __init__(self, cost_comp, turbineTypes, lower, upper, turbineXYZ, boundary_comp, min_spacing=None, driver=EasyRandomSearchDriver(random_search_driver.RandomizeTurbineTypeAndPosition()), plot_comp=None, record_id=None, expected_cost=1): sys.stderr.write("%s is deprecated. Use TopFarmProblem instead\n" % self.__class__.__name__) TopFarmProblem.__init__(self, cost_comp, driver, plot_comp, record_id, expected_cost) TurbineTypeOptimizationProblem.initialize(self, turbineTypes, lower, upper) TurbineXYZOptimizationProblem.initialize(self, turbineXYZ, boundary_comp, min_spacing) self.setup(check=True, mode=self.mode)
def __init__(self, cost_comp, turbineXYZ, boundary_comp, min_spacing=None, driver=ScipyOptimizeDriver(), plot_comp=None, record_id=None, expected_cost=1): sys.stderr.write("%s is deprecated. Use TopFarmProblem instead\n" % self.__class__.__name__) if plot_comp: if plot_comp == "default": plot_comp = PlotComp() turbineXYZ = np.asarray(turbineXYZ) design_vars = {xy: v for xy, v in zip([topfarm.x_key, topfarm.y_key], turbineXYZ.T)} constraints = [] if min_spacing: constraints.append(SpacingConstraint(min_spacing)) if isinstance(boundary_comp, PolygonBoundaryComp): constraints.append(XYBoundaryConstraint(boundary_comp.xy_boundary, 'polygon')) elif len(boundary_comp.xy_boundary): constraints.append(XYBoundaryConstraint(boundary_comp.xy_boundary, boundary_comp.boundary_type)) if turbineXYZ.shape[1] == 3: if len(boundary_comp.z_boundary): design_vars[topfarm.z_key] = (turbineXYZ[:, 2], boundary_comp.z_boundary[:, 0], boundary_comp.z_boundary[:, 1]) else: design_vars[topfarm.z_key] = turbineXYZ[:, 2] TopFarmProblem.__init__( self, design_vars=design_vars, cost_comp=cost_comp, driver=driver, constraints=constraints, plot_comp=plot_comp, record_id=record_id, expected_cost=expected_cost) self.setup()
def __init__(self, cost_comp, turbineTypes, lower, upper, **kwargs): sys.stderr.write("%s is deprecated. Use TopFarmProblem instead\n" % self.__class__.__name__) TopFarmProblem.__init__(self, design_vars={topfarm.type_key: (turbineTypes, lower, upper)}, cost_comp=cost_comp, **kwargs) self.setup()
def __init__(self, turbines, cost_comp, min_spacing, boundary, boundary_type='convex_hull', plot_comp=None, driver=ScipyOptimizeDriver(), record_id="Opt_%s" % time.strftime("%Y%m%d_%H%M%S"), expected_cost=1): sys.stderr.write("%s is deprecated. Use TopFarmProblem instead\n" % self.__class__.__name__) constraints = [] if min_spacing and len(turbines) > 1: constraints.append(SpacingConstraint(min_spacing)) if boundary is not None: constraints.append(XYBoundaryConstraint(boundary, boundary_type)) TopFarmProblem.__init__( self, design_vars={k: v for k, v in zip([topfarm.x_key, topfarm.y_key, topfarm.z_key], np.asarray(turbines).T)}, cost_comp=cost_comp, driver=driver, constraints=constraints, plot_comp=plot_comp, record_id=record_id, expected_cost=expected_cost) self.setup()