aspg-18-602-1792028090 20261015013450 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Intelligent Systems and Internet of Things JISIoT 2769-786X 2690-6791 2021 2 1 Safaa Saber Faculty of Computers and Informatics, Zagazig University, Zagazig, Egypt Ibrahim Elhenawy Faculty of Computers and Informatics, Zagazig University, Zagazig, Egypt Flower pollination algorithm (FPA) is a metaheuristic algorithm that proceeds its representation from flowers' proliferation role in plants. The optimal plant reproduction strategy involves the survival of the fittest as well as the optimal reproduction of plants in terms of numbers. These factors represent the fundamentals of the FPA and are optimization-oriented. Yang developed the FPA in 2012, which has since shown superiority to other metaheuristic algorithms in solving various real-world problems, such as power and energy, signal and image processing, communications, structural design, clustering and feature selection, global function optimization, computer gaming, and wireless sensor networking. Recently, many variants of FPA have been developed by modification, hybridization, and parameter-tuning to cope with the complex nature of optimization problems this paper provides a survey of FPA and its applications. 2021 05 11 602 https://creativecommons.org/licenses/by/4.0/ 10.54216/JISIoT.020101 https://americaspg.com/journal/18/article/602 https://americaspg.com/storage/2354.pdf