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Bat Algorithm Comparison with Genetic Algorithm Using Benchmark Functions

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Book cover Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 547))

Abstract

We describe in this chapter a Bat Algorithm and Genetic Algorithm (GA) conducting a performance comparison of the two algorithms Benchmark testing them in mathematical functions, parameters adjustment is done manually for both algorithms in 6 math functions, including some references on work done with the bat and area algorithm optimization with mathematical functions.

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Acknowledgments

We would like to express our gratitude to the CONACYT and Tijuana Institute of Technology for the facilities and resources granted for the development of this research.

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Authors and Affiliations

  1. Tijuana Institute of Technology, Tijuana, BC, México

    Jonathan Pérez, Fevrier Valdez & Oscar Castillo

Authors
  1. Jonathan Pérez
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  2. Fevrier Valdez
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  3. Oscar Castillo
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Corresponding author

Correspondence to Fevrier Valdez .

Editor information

Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Witold Pedrycz

  4. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Pérez, J., Valdez, F., Castillo, O. (2014). Bat Algorithm Comparison with Genetic Algorithm Using Benchmark Functions. In: Castillo, O., Melin, P., Pedrycz, W., Kacprzyk, J. (eds) Recent Advances on Hybrid Approaches for Designing Intelligent Systems. Studies in Computational Intelligence, vol 547. Springer, Cham. https://doi.org/10.1007/978-3-319-05170-3_16

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  • DOI: https://doi.org/10.1007/978-3-319-05170-3_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05169-7

  • Online ISBN: 978-3-319-05170-3

  • eBook Packages: EngineeringEngineering (R0)

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