Table 3 Control parameters of hybrid algorithm and other state-of-the-art algorithms.

From: Multi-objective quantum hybrid evolutionary algorithms for enhancing quality-of-service in internet of things

Algorithm

Population size

Mutation rate

Crossover rate

Max generations

Other parameters

MOPSO41

100

0.01

N/A

500

Inertia Weight: 0.729, Cognitive Coef: 1.494, Social Coef: 1.494

MOEA-D28

100

0.02

0.9

500

Decomposition Method: Tchebycheff, Neighbourhood Size: 20

MOWOA42

100

0.03

N/A

500

Shape Parameter: 2, Scaling Factor: 1.5

NSGA-III40

100

0.02

0.9

500

Distribution Index for Crossover: 20, Distribution Index for Mutation: 20

Proposed hybrid algorithm

100

0.02

0.9

500

Quantum-based Mutation, GWO Parameters, WOA Parameters