68 lines
1.9 KiB
Python
68 lines
1.9 KiB
Python
|
from utils import wrap_untrustworthy, final, ExhaustedTrialsError
|
||
|
|
import numpy as np
|
||
|
|
|
||
|
|
|
||
|
|
def make_evolopy(optimizer_name, popsize=None):
|
||
|
|
from evolopy.BAT import BAT
|
||
|
|
from evolopy.CS import CS
|
||
|
|
from evolopy.DE import DE
|
||
|
|
from evolopy.FFA import FFA
|
||
|
|
from evolopy.GA import GA
|
||
|
|
from evolopy.GWO import GWO
|
||
|
|
from evolopy.HHO import HHO
|
||
|
|
from evolopy.JAYA import JAYA
|
||
|
|
from evolopy.MFO import MFO
|
||
|
|
from evolopy.MVO import MVO
|
||
|
|
from evolopy.PSO import PSO
|
||
|
|
from evolopy.SCA import SCA
|
||
|
|
from evolopy.SSA import SSA
|
||
|
|
from evolopy.WOA import WOA
|
||
|
|
from unittest.mock import patch
|
||
|
|
|
||
|
|
def no_print(*args, **kwargs):
|
||
|
|
pass
|
||
|
|
|
||
|
|
optimizers = dict(
|
||
|
|
BAT=BAT,
|
||
|
|
CS=CS,
|
||
|
|
DE=DE,
|
||
|
|
FFA=FFA,
|
||
|
|
GA=GA,
|
||
|
|
GWO=GWO,
|
||
|
|
HHO=HHO,
|
||
|
|
JAYA=JAYA,
|
||
|
|
MFO=MFO,
|
||
|
|
MVO=MVO,
|
||
|
|
PSO=PSO,
|
||
|
|
SCA=SCA,
|
||
|
|
SSA=SSA,
|
||
|
|
WOA=WOA,
|
||
|
|
)
|
||
|
|
optimizers = {
|
||
|
|
k: patch("builtins.print", no_print)(v) for k, v in optimizers.items()
|
||
|
|
}
|
||
|
|
optimizer = optimizers[optimizer_name.upper()]
|
||
|
|
|
||
|
|
def f(objective, n_trials, n_dim, with_count):
|
||
|
|
# ps = n_dim if popsize is None else popsize
|
||
|
|
# ps = max(4, ps) if optimizer_name.upper() == "DE" else ps
|
||
|
|
ps = int(4 + 3 * np.log(n_dim)) if popsize is None else popsize
|
||
|
|
if optimizer_name.upper() == "GA" and ps & 1:
|
||
|
|
ps += 1 # force popsize to be even
|
||
|
|
|
||
|
|
_objective = wrap_untrustworthy(
|
||
|
|
objective, n_trials, bounding="sine", raising=True
|
||
|
|
)
|
||
|
|
try:
|
||
|
|
optimizer(_objective, 0.0, 1.0, n_dim, ps, n_trials)
|
||
|
|
except ExhaustedTrialsError:
|
||
|
|
pass
|
||
|
|
|
||
|
|
fopt, xopt, feval_count = _objective(final)
|
||
|
|
return (fopt, xopt, feval_count) if with_count else (fopt, xopt)
|
||
|
|
|
||
|
|
name = f"evolopy_{optimizer.__name__.lower()}"
|
||
|
|
name += f"_auto" if popsize is None else f"_ps{popsize:02}"
|
||
|
|
f.__name__ = name + "_cube"
|
||
|
|
return f
|