Flower pollination algorithm
Flower pollination algorithm (FPA) is a metaheuristic algorithm for optimization and this algorithm was developed by Xin-She Yang[1], based on the pollination process of flowering plants. FPA has been applied to solve practical problems in engineering [2], solar PV parameter estimation[3], and fuzzy selection for dynamic economic dispatch.[4]
A matlab demo program is available for function optimization[5]
References
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- ^ 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).
- ^ 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).
- ^ 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)
- ^ 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).
- ^ X. S. Yang,http://www.mathworks.com/matlabcentral/fileexchange/45112-flower-pollination-algorithm