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DISPAR-Tournament: A Parallel Population Reduction Operator That Behaves Like a Tournament

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Applications of Evolutionary Computation (EvoApplications 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6624))

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Abstract

This paper presents an experimental study of different variants of tournament selection, and proposes a new DISPAR-tournament (Disjoint Sets Parallel tournament) operator for population reduction to be used in parallel implementations of evolution strategies and other evolutionary algorithms.

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References

  1. Amdahl, G.: Validity of the single processor approach to achieving large scale computing capabilities. In: Proceedings of the Spring Joint Computer Conference, pp. 483–485. ACM, New York (1967)

    Google Scholar 

  2. Blickle, T., Thiele, L.: A comparison of selection schemes used in evolutionary algorithms. In: Evolutionary Computation, pp. 361–394 (1997)

    Google Scholar 

  3. Goldberg, D.E., Deb, K.: A comparative analysis of selection schemes used in genetic algorithms. In: Foundations of Genetic Algorithms, pp. 69–93. Morgan Kaufmann, San Francisco (1991)

    Google Scholar 

  4. Hancock, P.J.B.: An empirical comparison of selection methods in evolutionary algorithms. In: Fogarty, T.C. (ed.) AISB-WS 1994. LNCS, vol. 865, pp. 80–94. Springer, Heidelberg (1994)

    Chapter  Google Scholar 

  5. Motoki, T.: Calculating the expected loss of diversity of selection schemes. Evol. Comput. 10(4), 397–422 (2002)

    Article  Google Scholar 

  6. Muhlenbein, H., Schlierkamp-Voosen, D.: Predictive models for the breeder genetic algorithm – i. continuous parameter optimization. Evolutionary Computation 1, 25–49 (1993)

    Article  Google Scholar 

  7. Rogers, A., Prugel-Bennett, A.: Genetic drift in genetic algorithm selection schemes. IEEE Transactions on Evolutionary Computation 3(4), 298–303 (1999)

    Article  Google Scholar 

  8. Sastry, K., Goldberg, D.E.: Modeling tournament selection with replacement using apparent added noise. Technical report, Intelligent Engineering Systems Through Artificial Neural Networks,11, 129–134 (2001) (also IlliGAL)

    Google Scholar 

  9. Schwefel, H.-P.: Numerical optimization of computer models, 2nd edn. John Wiley & Sons, Chichester (1995)

    Google Scholar 

  10. Sokolov, A., Whitley, D.: Unbiased tournament selection. In: GECCO 2005: Proceedings of the 2005 Conference on Genetic and Evolutionary Computation, pp. 1131–1138. ACM, New York (2005)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Maitre, O., Sharma, D., Lachiche, N., Collet, P. (2011). DISPAR-Tournament: A Parallel Population Reduction Operator That Behaves Like a Tournament. In: Di Chio, C., et al. Applications of Evolutionary Computation. EvoApplications 2011. Lecture Notes in Computer Science, vol 6624. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20525-5_29

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  • DOI: https://doi.org/10.1007/978-3-642-20525-5_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20524-8

  • Online ISBN: 978-3-642-20525-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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