Table 8 Parameter levels of the NSGA-II and MOPSO algorithms.

From: Optimization of carbon emission in an integrated machine-piece scheduling and vehicle routing problem and its solution using MOPSO and NSGAII metaheuristic algorithms

Parameter levels of the NSGA-II algorithm

Factor

Level

Levels

  

Low

Medium

High

Crossover Percentage (PC)

3

60%

70%

80%

Mutation Percentage (PM)

3

25%

35%

40%

Mutation Rate (MU)

3

2%

3%

4%

Parameter levels of the MOPSO algorithm

Factor

Level

Levels

  

Low

Medium

High

Inertia weight (A)

3

0.5

1

1.5

Inertia weight damping rate (B)

3

0.85

0.9

0.95

Personal experience weight (C)

3

0.02

0.03

0.04

Leader weight (D)

3

1

2

3

Number of grids (E)

3

2

3

4

Inflation rate for grids (F)

3

9

10

11

Leader selection pressure (G)

3

1

0.15

0.2

Deletion selection pressure (H)

3

2

4

6

Mutation rate (J)

3

0.02

0.1

0.8