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Activate optimization test with 3 generations

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Michael Osthege 2024-10-07 19:52:48 +02:00 committed by Andreas
parent b6d0ef22f3
commit 3c1482c2c0
2 changed files with 10 additions and 5 deletions
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10
src/akkudoktoreos/class_optimize.py
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@ -198,7 +198,7 @@ class optimization_problem:
return (gesamtbilanz,)
def optimize(
self, start_solution: Optional[List[float]] = None
self, start_solution: Optional[List[float]] = None, ngen: int = 400
) -> Tuple[Any, Dict[str, List[Any]]]:
"""Run the optimization process using a genetic algorithm."""
population = self.toolbox.population(n=300)
@ -222,7 +222,7 @@ class optimization_problem:
lambda_=200,
cxpb=0.5,
mutpb=0.3,
ngen=400,
ngen=ngen,
stats=stats,
halloffame=hof,
verbose=self.verbose,
@ -244,6 +244,8 @@ class optimization_problem:
start_hour: Optional[int] = None,
worst_case: bool = False,
startdate: Optional[Any] = None, # startdate is not used!
*,
ngen: int = 400,
) -> Dict[str, Any]:
"""
Perform EMS (Energy Management System) optimization and visualize results.
@ -303,7 +305,9 @@ class optimization_problem:
"evaluate",
lambda ind: self.evaluate(ind, ems, parameter, start_hour, worst_case),
)
start_solution, extra_data = self.optimize(parameter["start_solution"])
start_solution, extra_data = self.optimize(
parameter["start_solution"], ngen=ngen
)
# Perform final evaluation on the best solution
o = self.evaluate_inner(start_solution, ems, start_hour)

5
tests/test_class_optimize.py
View File

@ -11,7 +11,6 @@ DIR_TESTDATA = Path(__file__).parent / "testdata"
@pytest.mark.parametrize(
"fn_in, fn_out", [("optimize_input_1.json", "optimize_result_1.json")]
)
@pytest.mark.skip(reason="Expensive - Skipped per default")
def test_optimize(fn_in, fn_out):
# Load input and output data
with open(DIR_TESTDATA / fn_in, "r") as f_in:
@ -26,7 +25,9 @@ def test_optimize(fn_in, fn_out):
start_hour = 10
# Call the optimization function
ergebnis = opt_class.optimierung_ems(parameter=input_data, start_hour=start_hour)
ergebnis = opt_class.optimierung_ems(
parameter=input_data, start_hour=start_hour, ngen=3
)
# Assert that the output contains all expected entries.
# This does not assert that the optimization always gives the same result!