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Nature-Based Algorithms

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Book cover Decision Making Algorithms for Hydro-Power Plant Location

Part of the book series: SpringerBriefs in Energy ((BRIEFSENERGY))

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Abstract

Nature-based algorithms are those algorithms which mimics nature to solve a real-life problem. This kind of meta-heuristic algorithms are popular to search for an optimal answer within a given set of nonlinear complex problems by replicating the way by which nature is solving its problems. For example, bat search for food with the help of the emitted sonar signal which accurately identifies the location of ideal sources of food. This same concept can be replicated in case of real-life problems to estimate the ideal solution of nonlinear problems. In this chapter, the concepts of neural network, fuzzy logic, bat algorithm, and Analytical Hierarchy Process which are applied in the present study for taking a scientific decision in regard to find a suitable location for hydropower plants.

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Authors and Affiliations

  1. National Institute of Technology, Agartala, India

    Mrinmoy Majumder

  2. Greater Kolkata College of Engineering and Management, Kolkata, India

    Soumya Ghosh

Authors
  1. Mrinmoy Majumder
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  2. Soumya Ghosh
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Correspondence to Mrinmoy Majumder .

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Majumder, M., Ghosh, S. (2013). Nature-Based Algorithms. In: Decision Making Algorithms for Hydro-Power Plant Location. SpringerBriefs in Energy. Springer, Singapore. https://doi.org/10.1007/978-981-4451-63-5_4

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  • DOI: https://doi.org/10.1007/978-981-4451-63-5_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-4451-62-8

  • Online ISBN: 978-981-4451-63-5

  • eBook Packages: EnergyEnergy (R0)

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