Convergence Study of Biogeography Based Optimization

Authors

  • D. K. Mishra Department of Mathematics, Government Narmada P.G. College, Hoshangabad, Madhya Pradesh, India
  • Vikas Shinde Department of Applied Mathematics, Madhav Institute of Technology & Science, Gwalior, Madhya Pradesh, India
  • Kamal Wadhwa Department of Mathematics, Government P.G. College, Pipariya, Madhya Pradesh, India
  • Sanjay Chaudhary Department of Mathematics, Government Narmada P.G. College, Hoshangabad, Madhya Pradesh, India

DOI:

https://doi.org/10.51983/ajcst-2018.7.3.1887

Keywords:

BBO Algorithm, Migration, Mutation, Emigration

Abstract

Biogeography based optimization BBO is a progressive algorithm. It is induced by Biogeography. BBO is more powerful algorithm among the biology based optimization methods. In this paper examines the convergence of BBO algorithm on some fitness functions. BBO algorithm handles the best solution from one off spring to the next converges to the universal optimum. The convergence rate evaluate of BBO algorithm by simulation for some fitness function. A set of 12 standard benchmark function performance of convergence is studied by BBO algorithm.

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Published

05-11-2018

How to Cite

Mishra, D. K., Shinde, V., Wadhwa, K., & Chaudhary, S. (2018). Convergence Study of Biogeography Based Optimization. Asian Journal of Computer Science and Technology, 7(3), 33–38. https://doi.org/10.51983/ajcst-2018.7.3.1887