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    Flower fertilization optimization algorithm with application to adaptive controllers by Hazim Albedran, Shaymaa Alsamia, Edina Koch

    Published 2025-02-01
    “…The positive outcomes from extensive benchmarking and practical application show the FFO’s potential as a powerful optimization tool. In applying multi-objective PID controller parameter optimization, FFO demonstrated superior performance with a sum of mean errors of 190.563, outperforming particle swarm optimization (250.075) and dynamic differential annealed optimization (219.629). …”
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