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Introduce normalization of F in NSGA3 extreme point calculation #557

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Introduce normalization of F in NSGA3 extreme point calculation #557

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0f45e3a
resolve bug that prevents two equally seeded reference direction calc…
Feb 2, 2024
18e38d8
normalize F before calculating extreme points
Feb 2, 2024
7b7cdf6
Revert "resolve bug that prevents two equally seeded reference direct…
Feb 2, 2024
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5 changes: 4 additions & 1 deletion pymoo/algorithms/moo/nsga3.py
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Original file line number Diff line number Diff line change
Expand Up @@ -312,8 +312,11 @@ def get_extreme_points_c(F, ideal_point, extreme_points=None):
__F = _F - ideal_point
__F[__F < 1e-3] = 0

# normalize __F
__F_norm = (__F - np.min(__F, axis=0)) / (np.max(__F, axis=0) - np.min(__F, axis=0))

# update the extreme points for the normalization having the highest asf value each
F_asf = np.max(__F * weights[:, None, :], axis=2)
F_asf = np.max(__F_norm * weights[:, None, :], axis=2)

I = np.argmin(F_asf, axis=1)
extreme_points = _F[I, :]
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