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Flower pollination algorithm development: a state of art review

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Abstract

The journey of a modern man from a troglodyte is due to human nature to try to unfold the mysteries of nature to improve the lives of human beings. A few years back we even can’t think that school of fish, genes, nature of bat or ant can be used to design optimization algorithms. As nature has the solution of every problem. Researchers working on optimization theory are developing optimization techniques which are inspired by nature and could be utilized as optimization tools for engineering problems. Recently, flower pollination algorithm, which is inspired by the pollination characteristics of flowering plants and associated flower constancy of some pollinating insects, caught the eye of many researchers in the world of optimization. This paper presents a brief review about the algorithm its developments and applications. In the last part of this paper, the authors have listed the limitations and topics within FPA that the authors consider as promising areas of future research.

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Acknowledgements

The authors wish to express their sincere thanks to the reviewers of the Journal whose critical comments have significantly improved the paper in the present form. Authors are also thankful to Dr. Shshank Chaube, University of Petroleum & Energy Studies, Dehradun, India for his kind suggestions and help during the revision.

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Authors and Affiliations

  1. Department of Mathematics, University of Petroleum & Energy Studies, Dehradun, 248007, India

    Sangeeta Pant & Anuj Kumar

  2. Department of Mathematics, Graphic Era University, Dehradun, 248002, India

    Mangey Ram

Authors
  1. Sangeeta Pant
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  2. Anuj Kumar
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  3. Mangey Ram
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Correspondence to Mangey Ram.

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Pant, S., Kumar, A. & Ram, M. Flower pollination algorithm development: a state of art review. Int J Syst Assur Eng Manag 8 (Suppl 2), 1858–1866 (2017). https://doi.org/10.1007/s13198-017-0623-7

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  • DOI: https://doi.org/10.1007/s13198-017-0623-7

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