Skip to content

moaedd_specific.py bugfix #44

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
Gromwud merged 2 commits into from
Sep 22, 2025
Merged

moaedd_specific.py bugfix #44

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
dd273ad
moeadd_specific.py update
Gromwud Sep 22, 2025
5e6e841
Merge branch 'ITMO-NSS-team:main' into main
Gromwud Sep 22, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 6 additions & 6 deletions epde/operators/multiobjective/moeadd_specific.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -122,7 +122,7 @@ def locate_pareto_worst(levels, weights, best_obj, penalty_factor = 1.):
domain_solution_NDL_idxs = np.empty(most_crowded_count)
for solution_idx, solution in enumerate(domain_solutions[most_crowded_domain]):
domain_solution_NDL_idxs[solution_idx] = [level_idx for level_idx in np.arange(len(levels.levels))
if any([solution == level_solution for level_solution in levels.levels[level_idx]])][0]
if any([np.allclose(solution.obj_fun, level_solution.obj_fun) for level_solution in levels.levels[level_idx]])][0]

max_level = np.max(domain_solution_NDL_idxs)
worst_NDL_section = [domain_solutions[most_crowded_domain][sol_idx] for sol_idx in np.arange(len(domain_solutions[most_crowded_domain]))
Expand Down Expand Up @@ -364,11 +364,11 @@ def apply(self, objective: ParetoLevels, arguments: dict):
self.suboperators['pareto_level_updater'].apply(objective=(temp_offspring, objective),
arguments=subop_args['pareto_level_updater'])
break
elif attempt >= attempt_limit and replaced:
print("Allowed replication")
self.suboperators['pareto_level_updater'].apply(objective=(temp_offspring, objective),
arguments=subop_args['pareto_level_updater'])
break
# elif attempt >= attempt_limit and replaced:
# print("Allowed replication")
# self.suboperators['pareto_level_updater'].apply(objective=(temp_offspring, objective),
# arguments=subop_args['pareto_level_updater'])
# break
elif attempt >= attempt_limit:
temp_offspring.create()
replaced = True
Expand Down