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The Influence of Data Implementation in the Performance of Evolutionary Algorithms

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Computer Aided Systems Theory – EUROCAST 2007 (EUROCAST 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4739))

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Abstract

In this paper we study the differences in performance among different implementations, in Java, of the data structures used in an evolutionary algorithm (EA). Typical studies on EAs performance deal only with different abstract representations of the data and pay no attention to the fact that each data representation has to be implemented in a concrete programming language which, in general, offers several possibilities, with differences in time consumed, that may be worthy of consideration.

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References

  1. Ackley, D.H.: A connectionist machine for genetic hillclimbing. Kluwer, Dordrecht (1987)

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  2. Alba, E., Luque, G.: Measuring the Performance of Parallel Metaheuristics. In: Parallel Metaheuristics, ch.2, pp. 43–61. Wiley, Chichester (2005)

    Chapter  Google Scholar 

  3. Barr, R.S., Golden, B.L., Kelly, J.P., Resende, M.G.C., Stewart, W.R.: Designing and Reporting on Computational Experiment with Heuristics Methods. Journal of Heuristics 1, 9–32 (1995)

    Article  MATH  Google Scholar 

  4. Lindholm, T., Yellin, F.: The Java TM Virtual Machine Specification. Addison-Wesley, London, UK (1996)

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  5. Rardin, R.L., Uzsoy, R.: Experimental Evaluation of Heuristic Optimization Algorithms: A Tutorial. Journal of Heuristics 7, 261–304 (2001)

    Article  MATH  Google Scholar 

  6. Rothlauf, F.: Representations for Genetic and Evolutionary Algorithms. Springer, Heidelberg (2006)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Universidad de Málaga, Spain

    Enrique Alba & Juan M. Molina

  2. L.I.D.I.C. Universidad Nacional de San Luis, Argentina

    Edgardo Ferretti

Authors
  1. Enrique Alba
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  2. Edgardo Ferretti
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  3. Juan M. Molina
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Editor information

Roberto Moreno Díaz Franz Pichler Alexis Quesada Arencibia

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© 2007 Springer-Verlag Berlin Heidelberg

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Alba, E., Ferretti, E., Molina, J.M. (2007). The Influence of Data Implementation in the Performance of Evolutionary Algorithms. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2007. EUROCAST 2007. Lecture Notes in Computer Science, vol 4739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75867-9_96

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  • DOI: https://doi.org/10.1007/978-3-540-75867-9_96

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75866-2

  • Online ISBN: 978-3-540-75867-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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