Information Technology: New Generations, Third International Conference on (2009)
Las Vegas, Nevada
Apr. 27, 2009 to Apr. 29, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITNG.2009.240
In this paper, a new genetic algorithm is developed based on a pre-existing implementation. The new algorithm requires less human interaction through the use of dynamically selected weight and acceptance probability parameters. The algorithm is implemented and tested using six benchmark functions. Results show that the new algorithm significantly outperforms other genetic algorithms in less time and with less human interaction.
Genetic Algorithm, Benchmark Function, Crossover, Mutation, Fitness Function
I. Stewart, S. Akl and W. Feng, "A Further Improvement on a Genetic Algorithm," 2009 Sixth International Conference on Information Technology: New Generations (ITNG 2009)(ITNG), Las Vegas, NV, 2009, pp. 154-159.