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Analysis and Applications of Biogeography Based Optimization Techniques for Problem Solving

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Advances in Computing and Data Sciences (ICACDS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1614))

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Abstract

Computational intelligence helps in detecting erroneous decisions and fastens the whole process of decision making by applying various techniques. In this study, we will discuss the Biogeography Based Optimization (BBO) and further it will be divided into three parts, firstly, we will describe natural biogeography of BBO with the help of model and algorithm, secondly, we will compare BBO with other optimization methods. Thirdly, we will detect the best location for decomposing solid waste and we will also analyze the benchmark functions with BBO and some recently developed algorithms. At the end of the paper, we will also examine some applications and future possibility of Biogeography Based Optimization.

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Authors and Affiliations

  1. Department of Mathematics, Chandigarh University, Mohali, India

    Gauri Thakur & Ashok Pal

Authors
  1. Gauri Thakur
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  2. Ashok Pal
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Correspondence to Gauri Thakur .

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Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Jaypee University of Engineering and Technology, Guna, India

    Vipin Tyagi

  3. Jaypee University of Information Technology, Waknaghat, India

    P. K. Gupta

  4. Institute of Information Theory and Automation, Prague, Czech Republic

    Jan Flusser

  5. University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

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Thakur, G., Pal, A. (2022). Analysis and Applications of Biogeography Based Optimization Techniques for Problem Solving. In: Singh, M., Tyagi, V., Gupta, P.K., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2022. Communications in Computer and Information Science, vol 1614. Springer, Cham. https://doi.org/10.1007/978-3-031-12641-3_34

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  • DOI: https://doi.org/10.1007/978-3-031-12641-3_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-12640-6

  • Online ISBN: 978-3-031-12641-3

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