A Convergence Study of Firefly Algorithm

D. K. Mishra, V. Shinde, S. Bharadwaj
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引用次数: 2

Abstract

In Recent era various optimization dilemmas are usually resolved by applying nature stimulated and meta-heuristic method. Firefly algorithm is one of them wherein male fireflies are supervised by two randomly selected female fireflies to give attention on global search, which provides repaid exploration and exploitation. Firefly algorithm is a population based algorithm it is widely used due to its simple search process and easy way to implementation. In this paper, Lightning bug (Firefly) is applied over fourteen bench mark function including multi-model and uni-model for examine the global optimal solution. Convergence analysis has been carried out effectively after various simulation experiments.
萤火虫算法的收敛性研究
近年来,各种优化难题通常采用自然刺激法和元启发式方法来解决。萤火虫算法就是其中一种,雄性萤火虫受到随机选择的两只雌性萤火虫的监督,关注全局搜索,提供有偿的探索和开发。萤火虫算法是一种基于种群的算法,由于其搜索过程简单、易于实现而得到了广泛的应用。本文利用萤火虫(Firefly)的多模型和单模型14个基准函数来检验全局最优解。经过多次仿真实验,有效地进行了收敛分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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