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()