Table 8 The proposed MCDM-based optimal points for various design scenarios.

From: Optimizing ternary hybrid nanofluids using neural networks, gene expression programming, and multi-objective particle swarm optimization: a computational intelligence strategy

Selection type

Point

Remark

Weight

Input variables

Objectives

DV

TC

VF (%)

T (°C)

MR

DV

TC

Single-objective

A

Fluid flow is crucial

1

0

0.05

65

111

68.952

0.1341

B

Heat transfer is crucial

0

1

1

65

111

118.78

0.1691

Two-objective based on TOPSIS

C

Flow and heat equilibrium

1

1

1

65

111

118.78

0.1691

D

Priority for heat transfer

1

3

1

65

111

118.78

0.1691

E

Priority for fluid flow

3

1

0.0823

65

111

74.503

0.1360

F

4

1

0.0694

65

111

72.256

0.1353

G

5

1

0.0628

65

111

71.102

0.1349