Flower pollination algorithm development: a state of art review

Sangeeta Pant, Anuj Kumar and Mangey Ram ()
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Sangeeta Pant: University of Petroleum & Energy Studies
Anuj Kumar: University of Petroleum & Energy Studies
Mangey Ram: Graphic Era University

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 2, No 101, 1858-1866

Abstract: 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.

Keywords: Flower pollination algorithm; Nature inspired optimization; Levy distribution; Hybrid algorithms (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s13198-017-0623-7

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