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'''Flower pollination algorithm''' (FPA) is a metaheuristic algorithm for optimization and this [[algorithm]] was developed by Xin-She Yang,<ref>Xin-She Yang, Flower pollination algorithm for global optimization, Unconventional Computation and Natural Computation, Lecture Notes in Computer Science, Volume 7445, pp. 240-249 (2012).</ref>, based on the [[pollination]] process of flowering [[plants]]. FPA has been applied to solve practical problems in engineering ,<ref>X. S. Yang, M. Karamanoglu, X. S. He, Flower pollination algorithm: A novel approach for multiobjective optimization, Engineering Optimization, Vol. 46, No. 9, 1222-1237 (2014).</ref>, solar PV parameter estimation,<ref>D. F. Alam, D. A. Yousri, M. B. Eteiba, Flower pollination algorithm based solar PV parameter estimation, Energy Conversion and Management, Vol. 101, pp. 410-422 (2015)</ref>, and fuzzy selection for dynamic economic dispatch.<ref>H. M. Dubey, M. Pandit, B.K. Panigraphi, Hybrid flower pollination algorithm with time-varying fuzzy selection mechanism for wind integrated multi-objective dynamic economic dispatch, Renewable Energy, Vol. 83, pp. 188-202 (2015).</ref>
== Main Characteristics ==
== References ==
{{Reflist|30em}}
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