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Self-adaptive Evolutionary Methods in Designing Skeletal Structures

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Adaptive and Natural Computing Algorithms (ICANNGA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4431))

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Abstract

This paper focuses on modified genetic algorithm based on the graph representation and specialized genetic operators. Advantages of changed representation, multi-level organization as well as self-adaptive aspects of the proposed method are described. The results of algorithm usage in optimising skeletal structures are also presented.

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Author information

Authors and Affiliations

  1. Institute of Fundamental Technological Research, Warsaw, Poland

    Adam Borkowski

  2. No Affiliation,  

    Piotr Nikodem

Authors
  1. Adam Borkowski
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  2. Piotr Nikodem
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Editor information

Bartlomiej Beliczynski Andrzej Dzielinski Marcin Iwanowski Bernardete Ribeiro

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© 2007 Springer Berlin Heidelberg

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Borkowski, A., Nikodem, P. (2007). Self-adaptive Evolutionary Methods in Designing Skeletal Structures. In: Beliczynski, B., Dzielinski, A., Iwanowski, M., Ribeiro, B. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2007. Lecture Notes in Computer Science, vol 4431. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71618-1_12

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  • DOI: https://doi.org/10.1007/978-3-540-71618-1_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71589-4

  • Online ISBN: 978-3-540-71618-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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