Mitchell, Ian and Agrawal, Abhishek (2006) Selection enthusiasm. In: 6th International Conference on Simulated Evolutionand Learning, Hefei, China. Proceedings. Springer Verlag, Heidelberg, pp. 449-456. ISBN 9783540473312
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This paper reports experimental results to test the hypothesis: does the technique change the overall fitness and diversity of Genetic Algorithms. An improved selection algorithm is reported in which a coefficient associated with an individual's fitness is adapted each time an individual is not selected to improve the probability of being selected the next time. The benchmark chosen was symmetric TSP and a new diversity metric was introduced. The results show that using such a technique did improve the overall diversity and fitness of GA. The work in continuing as part of a current PhD project.
|Item Type:||Book Section|
|Research Areas:||A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Artificial Intelligence group
|Depositing User:||Repository team|
|Date Deposited:||17 Oct 2008 14:30|
|Last Modified:||23 Sep 2015 14:53|
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