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The output of the optimal solution in problems with restrictions has … #180

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Feb 3, 2024
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The output of the optimal solution in problems with restrictions has … #180

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eeecfb7
The output of the optimal solution in problems with restrictions has …
LebedevIlyaG Feb 2, 2024
e32b4ee
Update Stronginc3_example.py
LebedevIlyaG Feb 3, 2024
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29 changes: 29 additions & 0 deletions examples/Stronginc3_example.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,29 @@

from problems.stronginc3 import Stronginc3
from iOpt.solver import Solver
from iOpt.solver_parametrs import SolverParameters


from iOpt.output_system.listeners.console_outputers import ConsoleOutputListener

if __name__ == "__main__":
"""
Минимизация тестовой функции Стронгина с тримя ограничениями
"""

problem = Stronginc3()

# Формируем параметры решателя
params = SolverParameters(r=2.5, eps=0.01, iters_limit=500)

# Создаем решатель
solver = Solver(problem=problem, parameters=params)

# Добавляем вывод результатов в консоль
cfol = ConsoleOutputListener(mode='result')
solver.add_listener(cfol)

# Решение задачи
sol = solver.solve()

val = problem.calculate(sol.best_trials[0].point, sol.best_trials[0].function_values[3])
2 changes: 1 addition & 1 deletion iOpt/method/index_method_calculator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,7 @@ def calculate_functionals(self, point: SearchDataItem) -> SearchDataItem:
point = self.task.calculate(point, i)
point.set_z(point.function_values[i].value)
point.set_index(i)
if point.get_z() < 0:
if point.get_z() > 0:
return point
point.function_values[number_of_constraints] = FunctionValue(FunctionType.OBJECTIV, 0)
point = self.task.calculate(point, number_of_constraints)
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4 changes: 2 additions & 2 deletions iOpt/output_system/outputers/console_outputer.py
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Expand Up @@ -57,7 +57,7 @@ def print_best_point_info(self, solution, iters):
else:
best_trial_point = solution.best_trials[0].point.float_variables
best_trial_d_point = solution.best_trials[0].point.discrete_variables
best_trial_value = solution.best_trials[0].function_values[0].value
best_trial_value = solution.best_trials[0].function_values[self.problem.number_of_constraints].value
self.__functions.print_best(
solution.number_of_global_trials,
solution.number_of_local_trials,
Expand All @@ -72,7 +72,7 @@ def print_best_point_info(self, solution, iters):
def print_final_result_info(self, solution: Solution, status: bool):
best_trial_point = solution.best_trials[0].point.float_variables
best_trial_d_point = solution.best_trials[0].point.discrete_variables
best_trial_value = solution.best_trials[0].function_values[0].value
best_trial_value = solution.best_trials[0].function_values[self.problem.number_of_constraints].value
self.__functions.print_result(
status,
solution.number_of_global_trials,
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