首页> 外文期刊>Journal of irrigation and drainage engineering >Discussion of 'Application of the Firefly Algorithm to Optimal Operation of Reservoirs with the Purpose of Irrigation Supply and Hydropower Production' by Irene Garousi-Nejad, Omid Bozorg-Haddad, Hugo A. Loaiciga, and Miguel A. Marino
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Discussion of 'Application of the Firefly Algorithm to Optimal Operation of Reservoirs with the Purpose of Irrigation Supply and Hydropower Production' by Irene Garousi-Nejad, Omid Bozorg-Haddad, Hugo A. Loaiciga, and Miguel A. Marino

机译:Irene Garousi-Nejad,Omid Bozorg-Haddad,Hugo A. Loaiciga和Miguel A. Marino讨论了“萤火虫算法在以灌溉供水和水力发电为目的的水库优化调度中的应用”。

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In the original paper, the authors made an effort to show the application of the firefly algorithm (FA) and its superiority to solve different reservoir operation problems in comparison with the genetic algorithm (GA). Although the paper seems interesting, the discusser would like to mention following points for future studies. The authors claimed that the FA has not been applied for the optimal operation of reservoir systems before. On the one hand, Hosseini-Moghari and Banihabib (2014) applied the FA to optimize the operation of the Bazoft Reservoir. Furthermore, there are numerous different kinds of lifeform throughout the world; this cannot mean that researchers should develop, modify, and apply almost infinite different algorithms based on insects, fish, mammals, and plants. Over the last decade, there has been an explosion in the development of new so-called metaheuristic optimization algorithms based on natural metaphors. These algorithms have attracted criticism globally (Weyland 2010, 2015; Lones 2014; Sorensen 2015; Swan et al. 2015). It has been argued that these algorithms just proliferate existing methods by using different terminology in order to hide their lack of novelty (Weyland 2010, 2015; Lones 2014; Sorensen 2015).
机译:在原始论文中,作者试图展示萤火虫算法(FA)的应用及其与遗传算法(GA)相比解决各种水库运行问题的优势。尽管这篇文章看起来很有趣,但是讨论者还是希望提及以下几点以供将来研究。作者声称,FA以前并未用于油藏系统的最佳运行。一方面,Hosseini-Moghari和Banihabib(2014)应用FA来优化Bazoft水库的运行。此外,全世界有许多不同种类的生命形式。这并不意味着研究人员应该基于昆虫,鱼类,哺乳动物和植物开发,修改和应用几乎无限的不同算法。在过去的十年中,基于自然隐喻的新型所谓元启发式优化算法的开发取得了爆炸性增长。这些算法在全球引起了批评(Weyland 2010,2015; Lones 2014; Sorensen 2015; Swan等人2015)。有人认为,这些算法只是通过使用不同的术语来扩散现有方法,以掩盖其缺乏新颖性(Weyland 2010,2015; Lones 2014; Sorensen 2015)。

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