Publication: The effect of GA parameters on the performance of GA-based QoS routing algorithm
Date
2008
Authors
Yussof S.
See O.H.
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Abstract
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.
Description
Keywords
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