Firefly Algorithm for Continuous Constrained Optimization Tasks

By Szymon Lukasik, Slawomir Zak. International Conference on Computational Collective Intelligence, 2009

478 citations recorded by the source corpus.

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Metaheuristics - the metaphor exposed (2015, background): “Combined with the fact that the authors of these methods usually neglect to properly position “their” method in the metaheuristics literature, such methods present a loss of time and a step backward rather than forward.”
Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran (2018, unknown): “…of AIbased models for the prediction of pan evaporation (Abudu et al. 2011; Bruton et al. 2000; Deo and Şahin 2015; Dogan et al. 2010; Goyal et al. 2014; Keshtegar et al. 2016; Keskin et al. 2009; Kişi 2006; Kisi et al. 2016; Macfarlane and Ogden 2012; Trajkovic 2005; Deo and Samui 2017).”
A comprehensive review of firefly algorithms (2013, methodology): “in [97] who experimented with the classical FA for constrained continuous optimization.”
Firefly algorithm, stochastic test functions and design optimisation (2010, methodology): “For example, the firefly algorithm (FA) developed by the author shows its superiority over some traditional algorithms (Yang, 2008, 2009; Lukasik and Zak, 2009).”
Fire Fly and Artificial Bees Colony Algorithm for Synthesis of Scanned and Broadside Linear Array Antenna (2011, methodology): “In this paper, we applied two relatively new optimization algorithms, namely, fire fly algorithm and artificial bees colony algorithm [20–24] to design the linear array of isotropic sources.”