def evaluate(self, solution: FloatSolution) -> FloatSolution:
Vars = solution.variables
result = create_run_scenario_overtake(Vars, self.config)
solution.objectives = result
return solution
def evaluate(self, solution: FloatSolution) -> FloatSolution:
Vars = solution.variables
result = create_run_scenario_overtake(Vars, self.config)
solution.objectives = result
## check if find such pattern
goal_flag = np.zeros((7), dtype=int)
for j in range(7):
if result[j] < self.target_value_threshold[j]:
goal_flag[j] = 1
else:
goal_flag[j] = 0
if (goal_flag == self.config.goal_selection_flag).all():
self.problem_solved = 1
return solution
