Filter modeling using gravitational search algorithm

By Esmat Rashedi, Hossein Nezamabadi-pour, Saeid Saryazdi. Engineering applications of artificial intelligence, 2011

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A swarm optimization algorithm inspired in the behavior of the social-spider (2013, result): “set to 50 individuals. The maximum iteration number for all functions has been set to 1000. Such stop criterion has been selected to maintain compatibility to similar works reported in the literature [41,42]. The parameter setting for each algorithm in the comparison is described as follows: 1. PSO:”
A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms (2011, neutral): “…Karaboga 2009; Fei et al. 2009), Cuckoo Search Algorithm (Yang and Deb 2009; Deb et al. 2002), Gravitational Search Algorithm (Rashedi et al. 2009; Esmat et al. 2010, 2011; Duman et al. 2010; Chaoshun and Jianzhong 2011) Harmony Search Algorithm (Geem et al. 2001; Lee and Geem 2004, 2005; Mahdavi…”
Neuro-Fuzzy GMDH-Based Evolutionary Algorithms to Predict Flow Discharge in Straight Compound Channels (2015, methodology): “Advantages of the PSO and GSA Models versus the GA (Rashedi et al. 2011)”