Livoa LogoLivoa
Multi-Surrogate Predictions
GA


(Genetic Algorithm)

Candidate Design x = [f, L, pltrd, r₁, r₂, r₃, r₄, t₄] ∈ ℝ⁹
Composite Fitness Evaluation
S₁₁(f)
Gain(f)
BWE(f)
SLL(f)
BKL(f)
X-pol(f)
Compute FOM Terms


F(x) = T₁ + T₂ + Tgain + Tsll + Tbki + Txpol

Fitness Score F(x)
Candidate Design x = [f, L, pltrd, r₁, r₂, r₃, r₄, t₄] ∈ ℝ⁹
Composite Fitness Evaluation
Multi-Surrogate Predictions
ANN_gated:
S̅₁₁(f)
f ∈ [12.5, 14.5] GHz | S₁₁
(x₁, x₂, | x₂ | x₃, x₄, | x₃,, x₁, | x₉)
Multi-Surrogate Predictions
ANN_gated:


f = [12.5, 14.5]

TabPFN


f = [13.4, 13.8]

TabPFN
Gain(f)


f = [13.4...]

BWE(f)


f = [13.4...]

SLL(f)


f = [13.4...]

BKL(f)


f = [13.4...]

X-pol(f)


f = [13.4...]

Fitness Score F(x)
---▶ F(x) = T₁ + T₂ + T₃ + Tbeam + Tsil + Tbki + Tbki + Txpol

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by faf

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