add optimizers from evolopy

evolopycube2.py

@@ -0,0 +1,67 @@
+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

notwacube.py

@@ -1,4 +1,5 @@
 from dlibcube2 import dlib_cube
+from evolopycube2 import make_evolopy
 from nevergradcube2 import NEVERGRAD2_OPTIMIZERS
 from nloptcube2 import nlopt_neldermead_cube
 from notwacube2 import make_birect, make_mercury, make_soo
@@ -55,6 +56,12 @@ NOTWA_OPTIMIZERS = [
     make_soo(deepness=53, K=2),
 ]
 
+EVOLOPY_OPTIMIZERS = [
+    make_evolopy(name, popsize)
+    for name in "BAT CS DE FFA GA GWO HHO JAYA MFO MVO PSO SCA SSA WOA".split()
+    for popsize in (None, 5, 10, 15)
+]
+
 
 def collect_everything():
     G = globals().values()
@@ -130,8 +137,9 @@ else:
 book_of_optimizers = dict(
     baseline=BASELINE_OPTIMIZERS,
     everything=FUCKING_EVERYTHING,
-    shgo=SHGO_OPTIMIZERS,
+    evolopy=EVOLOPY_OPTIMIZERS,
     negative=PREVIOUSLY_NEGATIVE,
     positive=PREVIOUSLY_POSITIVE,
+    shgo=SHGO_OPTIMIZERS,
     whitelisted=WHITELISTED_OPTIMIZERS,
 )