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AGE-P: A Platform for Open Evolution

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Parallel Problem Solving from Nature – PPSN X (PPSN 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5199))

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Abstract

Smart-appliances ensembles are highly dynamic device collections in which devices can leave and join at any time without notice. Due to the high system dynamics, such ensembles cannot employ standard evolutionary algorithms for their internal self-organization processes. Therefore, this paper proposes a new evolutionary framework, called the appliances-go-evolution platform (AGE-P). The simulation experiments indicate that AGE-P is able to properly cope with the peculiarities of smart-appliances ensembles and that it is thus a suitable option for their self-organization processes.

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References

  1. Aarts, E.: Ambient intelligence: A multimedia perspective. IEEE Multimedia 11(1), 12–19 (2004)

    Article  Google Scholar 

  2. Bäck, T., Hammel, U., Schwefel, H.-P.: Evolutionary Computation: Comments on the History and Current State. IEEE Transactions on Evolutionary Computation 1(1), 3–17 (1997)

    Article  Google Scholar 

  3. Bry, F., Hattori, T., Hiramatsu, K., Okadome, T., Wieser, C., Yamada, T.: Context Modeling in OWL for Smart Building Services. In: Brass, S., Goldberg, C. (eds.) Tagungsband zum 17. GI-Workshop über Grundlagen von Datenbanken, Wörlitz, Germany, Gesellschaft für Informatik, pp. 38–42. Institute of Computer Science, Martin-Luther-Univerity Halle-Wittenberg (2005)

    Google Scholar 

  4. Chen, H., Perich, F., Finin, T., Joshi, A.: SOUPA: Standard Ontology for Ubiquitous and Pervasive Applications. In: International Conference on Mobile and Ubiquitous Systems: Networking and Services, Boston, MA (2004)

    Google Scholar 

  5. Fogel, D.B.: Evolutionary Computation: Toward a New Philosophy of Machine Learning Intelligence. IEEE Press, NJ (1995)

    Google Scholar 

  6. Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading (1989)

    MATH  Google Scholar 

  7. Lee, C.-Y., Antonsson, E.K.: Variable Length Genomes for Evolutionary Algorithms. In: Whitley, L.D., Goldberg, D.E., Cantú-Paz, E., Spector, L., Parmee, I.C., Beyer, H.-G. (eds.) Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2000), p. 806 (2000)

    Google Scholar 

  8. Ramsey, C.L., De Jong, K.A., Grefenstette, J.J., Wu, A.S., Burke, D.S.: Genome Length as an Evolutionary Self-Adaptation. In: Eiben, A.E., Bäck, T., Schoenauer, M., Schwefel, H.-P. (eds.) Proceedings of Fifth International Conference on Parallel Problem Solving from Nature (PPSN V), pp. 27–30 (1998)

    Google Scholar 

  9. Rechenberg, I.: Evolutionsstrategie (Frommann-Holzboog, Stuttgart) (1994)

    Google Scholar 

  10. Saha, D., Mukherjee, A.: Pervasive computing: A paradigm for the 21st century. IEEE Computer, 25–31

    Google Scholar 

  11. Schiffmann, W., Joost, M., Werner, R.: Application of Genetic Algorithms to the Construction of Topologies for Multilayer Perceptrons. In: Proceedings of Artificial Neural Networks and Genetic Algorithms, pp. 675–682 (1993)

    Google Scholar 

  12. Schwefel, H.-P.: Evolution and Optimum Seeking. John Wiley and Sons, NY (1995)

    Google Scholar 

  13. Weiser, M.: Some computer science issues in ubiquitous computing. Communications of the ACM 26(7), 75–84 (1993)

    Article  Google Scholar 

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Salomon, R., Goldmann, S. (2008). AGE-P: A Platform for Open Evolution. In: Rudolph, G., Jansen, T., Beume, N., Lucas, S., Poloni, C. (eds) Parallel Problem Solving from Nature – PPSN X. PPSN 2008. Lecture Notes in Computer Science, vol 5199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87700-4_110

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  • DOI: https://doi.org/10.1007/978-3-540-87700-4_110

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87699-1

  • Online ISBN: 978-3-540-87700-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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