The effect of GA parameters on the performance of GA-based QoS routing algorithm

• Main Authors: Yussof S., See O.H.
• Other Authors: 16023225600
• Format: Conference paper
• Published: 2023
• Subjects: Diesel engines; Genetic algorithms; Information technology; Network routing; Population statistics; Multiconstrained path problems; Mutation probabilities; Natural selections; Optimization algorithms; Population sizes; QoS routing algorithms; Simulation results; Routing algorithms
• Institution: Universiti Tenaga Nasional

Genetic algorithm (GA) is a powerful search and optimization algorithm inspired by the theory of genetics and natural selection. However, the performance of GA depends largely on the values chosen for the GA parameters. In the previous work, a GA-based QoS routing algorithm for solving the multicons...