Titlebook: Applications of Flower Pollination Algorithm and its Variants; Nilanjan Dey Book 2021 The Editor(s) (if applicable) and The Author(s), und

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Gadi Fishman M.D.,Oshri Wasserzug M.D.m (FPA). Demon’s registrations’ velocity smoothening kernel parameters were optimized with respect to the correlation efficient which was set as the fitness function. In order to verify the efficiency of the proposed system, the results of current work were compared with the results of optimization

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Acquired Nasal Deformity and Reconstructionproposed strategy by, first, comparing NH-FPA’s results with the existing t-way metaheuristics-based strategies. Then NH-FPA will compare with standard FPA to asses the contribution of introducing the neighboring heuristics operators into NH-FPA. Experimental results demonstrate that the proposed st

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Acute and Chronic Rhinosinusitised method, a set of slope stability problems having different soil properties with various geometries are solved, and results are compared with the solutions previously obtained in the literature. Findings indicate that FPA can effectively solve slope stability problems and reaches the critical slip

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Abnormal Illness Affirming Statese to show the efficiency of the proposed tuning method. The simulation response proves that the applied technique-based secondary controller yields better response more than GA method and PSO procedure tuned controller response with minimal time domain specification parameter values. The proposed te

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Flower Pollination Algorithm: Basic Concepts, Variants, and Applications,gence toward the global optima, fast speed, and better success rate results in the numerous variants of FPA in solving the many NP-complete problems by some modifications or hybridization with other nature-inspired metaheuristic optimization algorithms. The chapter aims to inspire the researchers to