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Performance Evaluation of the Genetic Landscape Evolution (GLE) Model with Respect to Crossover Schemes

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Book cover Harmony Search Algorithm

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 382))

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Abstract

We investigate performance of the Genetic Landscape Evolution (GLE) model by changing number of crossover points, which controls spatial cohesiveness of topological information in generated offspring. Simulation results show that 1) GLE performance is insensitive to the number of crossover points, implying that the spatial cohesiveness does not significantly affect efficiency to find better solution sets; and 2) the method to generate randomness in GLE is a significant element for its performance.

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References

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Author information

Authors and Affiliations

  1. School of Civil, Environmental, and Architectural Engineering, Korea University, 145 Anam-ro Seongbuk-gu, Seoul, 136-713, South Korea

    JongChun Kim & Kyungrock Paik

Authors
  1. JongChun Kim
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  2. Kyungrock Paik
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Corresponding author

Correspondence to Kyungrock Paik .

Editor information

Editors and Affiliations

  1. Civil, Environmental and Architectural Engineering, Korea University, Seoul, Korea (Republic of)

    Joong Hoon Kim

  2. Energy IT, Gachon University, Seongnam-Si, Korea (Republic of)

    Zong Woo Geem

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Kim, J., Paik, K. (2016). Performance Evaluation of the Genetic Landscape Evolution (GLE) Model with Respect to Crossover Schemes. In: Kim, J., Geem, Z. (eds) Harmony Search Algorithm. Advances in Intelligent Systems and Computing, vol 382. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47926-1_36

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  • DOI: https://doi.org/10.1007/978-3-662-47926-1_36

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47925-4

  • Online ISBN: 978-3-662-47926-1

  • eBook Packages: EngineeringEngineering (R0)

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