Flower pollination algorithm development: a state of art review

• DOI: 10.1007/s13198-017-0623-7
• Publication Date: 2017-04-26T09:34:09Z
• Authors: Sangeeta Pant; Anuj Kumar; Mangey Ram
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

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.