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Store offsprings in history #45

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

Store offsprings in history #45

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493b317
Now offsprings will not repeat throughout evolution
Gromwud Sep 22, 2025
0342023
Merge remote-tracking branch 'origin/main'
Gromwud Sep 22, 2025
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19 changes: 12 additions & 7 deletions epde/operators/multiobjective/moeadd_specific.py
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Original file line number Diff line number Diff line change
Expand Up @@ -360,18 +360,22 @@ def apply(self, objective: ParetoLevels, arguments: dict):
self.suboperators['chromosome_fitness'].apply(objective=temp_offspring,
arguments=subop_args['chromosome_fitness'])

if all([not np.allclose(temp_offspring.obj_fun, solution.obj_fun) for solution in objective.population]):
if (all([not np.allclose(temp_offspring.obj_fun, solution.obj_fun) for solution in objective.population])
and tuple(temp_offspring.obj_fun) not in objective.history):
# and all([not np.allclose(temp_offspring.obj_fun, obj_fun) for obj_fun in objective.history]):

self.suboperators['pareto_level_updater'].apply(objective=(temp_offspring, objective),
arguments=subop_args['pareto_level_updater'])
objective.history.add(tuple(temp_offspring.obj_fun))
break
elif replaced >= attempt_limit:
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
replaced += 1
attempt = 1
self.suboperators['chromosome_mutation'].apply(objective=temp_offspring,
arguments=subop_args['chromosome_mutation'])
Expand Down Expand Up @@ -430,6 +434,7 @@ def apply(self, objective : ParetoLevels, arguments : dict):

self.suboperators['chromosome_fitness'].apply(objective = objective.unplaced_candidates[idx],
arguments = subop_args['chromosome_fitness'])
objective.history.add(tuple(candidate.obj_fun))
objective.initial_placing()
return objective

Expand Down
1 change: 1 addition & 0 deletions epde/optimizers/moeadd/moeadd.py
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Expand Up @@ -67,6 +67,7 @@ def __init__(self, population, sorting_method = fast_non_dominated_sorting,
self.population = []
self._update_method = update_method
self.unplaced_candidates = population
self.history = set()

def manual_reconst(self, attribute:str, value, except_attrs:dict):
from epde.loader import attrs_from_dict
Expand Down