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One-Point Geometric Crossover

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Parallel Problem Solving from Nature, PPSN XI (PPSN 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6238))

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Abstract

Uniform crossover for binary strings has a natural geometric interpretation that allows us to generalize it rigorously to any search space endowed with a notion of distance and any representation [6]. In this paper, we present an analogous characterization for one-point crossover and explicitly derive formally specific one-point crossovers for a number of well-known representations.

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References

  1. Eiben, A., Smith, J.: Introduction to Evolutionary Computing. Natural Computing Series. Springer, Heidelberg (2003)

    MATH  Google Scholar 

  2. Holland, J.H.: Adaptation in Natural and Artificial Systems. University of Michigan Press (1975)

    Google Scholar 

  3. Koza, J.R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. The MIT Press, Cambridge (1992)

    MATH  Google Scholar 

  4. Langdon, W., Poli, R.: Foundations of Genetic Programming. Springer, Heidelberg (2002)

    MATH  Google Scholar 

  5. Moraglio, A.: Towards a geometric unification of evolutionary algorithms. PhD thesis, University of Essex (2007)

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  6. Moraglio, A., Poli, R.: Topological interpretation of crossover. In: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1377–1388 (2004)

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  7. Reeves, C.R., Yamada, T.: Genetic algorithms, path relinking, and the flowshop sequencing problem. Evolutionary Computation 6(1), 45–60 (1998)

    Article  Google Scholar 

  8. Sywerda, G.: Uniform crossover in genetic algorithms. In: Proceedings of the Third International Conference on Genetic Algorithms (1989)

    Google Scholar 

  9. Whitley, D.: A genetic algorithm tutorial. Journal of Statistics and Computing 4, 65–85 (1994)

    Google Scholar 

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© 2010 Springer-Verlag Berlin Heidelberg

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Moraglio, A. (2010). One-Point Geometric Crossover. In: Schaefer, R., Cotta, C., Kołodziej, J., Rudolph, G. (eds) Parallel Problem Solving from Nature, PPSN XI. PPSN 2010. Lecture Notes in Computer Science, vol 6238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15844-5_9

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  • DOI: https://doi.org/10.1007/978-3-642-15844-5_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15843-8

  • Online ISBN: 978-3-642-15844-5

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