A Gene Based Adaptive Mutation Strategy for Genetic Algorithms

Author:

Uyar Sima,Sariel Sanem,Eryigit Gulsen

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Angeline, P.J.: Adaptive and Self-adaptive Evolutionary Computation. Computational Intelligence. A Dynamic System Perspective, IEEE, 152–161 (1995)

2. Bäck, T.: Optimal Mutation Rates in Genetic Search. In: Proc. of 5th International Conference on Genetic Algorithms, Morgan Kaufmann, San Francisco (1993)

3. Bäck, T., Schlütz, M.: Intelligent Mutation Rate Control in Canonical Genetic Algorithms. In: Proc. Int. Symp. on Methodologies for Intelligent Syst., pp. 158–167 (1996)

4. Baluja, S., Caruana, R.: Removing the Genetics from the Standard Genetic Algorithm. In: Proc. 12. Int. Conf. on Machine Learning, pp. 38–46. Morgan Kaufmann, San Francisco (1995)

5. Eiben, A.E., Hinterding, R., Michalewicz, Z.: Parameter Control in Evolutionary Algorithms. IEEE Trans. on Evolutionary Computation 3(2), 124–141 (1999)

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