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

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...

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Bibliographic Details
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
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Summary: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 multiconstrained path (MCP) problem has been developed. This paper presents the simulation result of the effect of three GA parameters which are maximum iterations, population size and mutation probability on the developed algorithm. � 2008 IEEE.

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