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Parameter Analysis on Fruit Fly Optimization Algorithm

机译:果蝇优化算法的参数分析

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摘要

Fruit fly algorithm is a novel intelligent optimization algorithm based on foraging behavior of the real fruit flies. In order to find optimum solution for an optimization problem, fixed parameters are obtained as a result of manual test in fruit fly algorithm. In this study, it is aimed to find the optimum solution by analyzing the constant parameter concerning the direction of the algorithm instead of manual defining on initialization stage. The study shows an automated approach for finding the related parameter by utilizing grid search algorithm. According to the experimental results, it can be seen that this approach could be used as an alternative way for finding related parameter or other ones in order to achieve optimum model.
机译:果蝇算法是一种基于真实果蝇觅食行为的新型智能优化算法。为了找到优化问题的最优解,通过果蝇算法中的手动测试获得了固定参数。本研究旨在通过分析与算法方向有关的常数参数,而不是在初始化阶段手动定义来找到最佳解决方案。研究显示了一种利用网格搜索算法查找相关参数的自动方法。根据实验结果可以看出,该方法可以作为寻找相关参数或其他参数的一种替代方法,以实现最优模型。

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