Table 4 GEP hyperparameters.

From: Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approaches

Computational constants

Genetic Constant

10

Data type

Floating number

A lower bound and upper bound

 − 10 and 10

General

Parameters

Settings

Function set

 + , − , × , ÷ , power, exponential

Linking function

x

Chromosomes

70

Genes

4

Size of head

10

Genetic operators

Inversion rate

0.0054

Two− point recombination rate

0.0028

Rate of Gene recombination

0.0027

recombination

0.0027

Rate of transposition

0.0027

RIS rate of transposition

0.0055

Mutation rate

0.0014

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