A Directed Mutation Operator for Real Coded Genetic Algorithms-Reference-Cited by-同舟云学术

A Directed Mutation Operator for Real Coded Genetic Algorithms

Published:2010 Issue: Volume: Page:491-500
ISSN:0302-9743
Container-title:Applications of Evolutionary Computation
language:
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Author:

Korejo Imtiaz,Yang Shengxiang,Li Changhe

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-12239-2_51

Reference13 articles.

1. Back, T.: Evolutionary Algorithms in Theory and Practice. Oxford University Press, Oxford (1996)

2. Berlik, S.: A directed mutation framework for evolutionary algorithms. In: Proc. of the Int. Conf. on Soft Computing, MENDEL, pp. 45–50 (2004)

3. Berry, A., Vamplew, P.: PoD Can Mutate: A simple dynamic directed mutation approach for genetic algorithms. In: Proc. of AISAT 2004: Int. Conf. on Artificial Intelligence in Science and Technology, pp. 200–205 (2004)

4. Eiben, A.E., Michalewics, Z., Schoenauer, M., Smith, J.E.: Parameter control in evolutionary algorithms. In: Lobo, F.G., Lima, C.F., Michalewicz, Z. (eds.) Parameter Setting in Evolutionary Algorithms, ch. 2, pp. 19–46 (2007)

5. Goldberg, D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison Wesley, New York (1989)

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