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Table 3 Multi-objective PSO optimization of GEP models to achieve the highest quantity and quality through in vitro proliferation of walnut

From: Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and GEP models

Walnut

Medium

inputs

Outputs

NH4NO3, CaNO3, ZnNO3

KNO3

K2SO4

MgSo4, MnSo4, CuSo4

KH2PO4, H3BO3, Na2MoO4

FeEDDHA

Thiamine, Nicotinic acid, Glycine

BAP (mg/l)

TDZ, IBA (mg/l)

PR

CW (g)

STN

Vit

Chandler

Optimized

1.76

1.67

0.96

0.66

2.35

1.64

1.89

0.67

1.30

23.54

0.12

2.31

9.95

 

DKW

1

1

1

1

1

1

1

1

0.1

7.12

0.3

10.75

0

Rayen

Optimized

1.78

0.85

0.93

1.43

1.95

1.59

0.53

0.99

0.52

7.42

0.70

11.29

12.99

 

DKW

1

1

1

1

1

1

1

1

0.1

6.25

0.5

23.75

16.12