Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks

By Dervis Karaboga, Bahriye Akay, Celal Öztürk. Modeling Decisions for Artificial Intelligence, 2007

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Artificial bee colony algorithm for large-scale problems and engineering design optimization (2010, methodology): “…(2005) simulates the foraging behaviour of a bee colony and it was successfully applied to optimize numerical problems (Karaboga 2005; Basturk and Karaboga 2006; Karaboga and Basturk 2007b, 2008; Karaboga and Akay 2007; Karaboga et al. 2007; Karaboga and Basturk 2007a; Karaboga and Akay 2009).”
Gbest-guided artificial bee colony algorithm for numerical function optimization (2010, methodology): “Furthermore, ABC algorithm was also applied in the training of neural networks [17], the”
Optimizing connection weights in neural networks using the whale optimization algorithm (2016, methodology): “Some interesting applications of these algorithms and their variations in the problem of training MLP networks are reported in Jianbo et al. (2008), Mendes et al (2002), Meiss-ner et al. (2006), Blum and Socha (2005), Socha and Blum (2007), and Karaboga et al (2007).”
A survey: algorithms simulating bee swarm intelligence (2009, methodology): “They have extended ABC algorithm for constrained optimization problems in Karaboga and Basturk 2007a and applied ABC for training neural networks Karaboga and Akay 2007; Karaboga et al. 2007.”