Towards an optimal mutation probability for genetic algorithms-Reference-Cited by-同舟云学术

Towards an optimal mutation probability for genetic algorithms

Published: Issue: Volume: Page:23-32
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Container-title:Parallel Problem Solving from Nature
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Author:

Hesser Jürgen,Männer Reinhard

Publisher

Springer-Verlag

Link

http://link.springer.com/content/pdf/10.1007/BFb0029727.pdf

Reference17 articles.

1. K. De Jong. Analysis of the Behavior of a Class of Genetic Adaptive Systems. PhD. Diss., Univ. of Michigan, 1975

2. M. Nowack; P. Schuster. Error Thresholds of Replication in Finite Populations Mutations Frequencies and the Onset of Muller's Ratchet. J. Theor. Biol., Vol. 137, pages 375–395, 1989

3. P. Schuster. Effects of Finite Population Size and Other Stochastic Phenomena in Molecular Evolution. Complex Systems — Operational Approaches in Neurobiology, Physics, and Computers, Springer, Heidelberg, 1985

4. T.C. Fogarty. Varying the probability of mutation in the Genetic Algorithm. J.D. Schaffer, Proc. 3rd Int'l Conf. Genetic Algorithms & Appl., Arlington, VA, pages 104–109, 1989

5. L. Booker. Improving Search in Genetic Algorithms. L. Davis, Genetic Algorithms and Simulated Annealing, Pitman, London, 1987

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