A novel ACO–GA hybrid algorithm for feature selection in protein function prediction

Author:

Nemati Shahla,Basiri Mohammad Ehsan,Ghasem-Aghaee Nasser,Aghdam Mehdi Hosseinzadeh

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference36 articles.

1. Aghdam, M. H., Ghasem-Aghaee, N., & Basiri, M. E. (2008). Application of ant colony optimization for feature selection in text categorization. In Proc. CEC 2008, Proceeding of the fifth IEEE congress on evolutionary computation, IEEE Press, Hong Kong.

2. The molecular biology of the cell;Alberts,2002

3. Basiri, M. E., Ghasem-Aghaee, N., & Aghdam, M. H. (2008). Using ant colony optimization-based selected features for predicting post-synaptic activity in proteins, EvoBIO 2008 (pp. 12–23), LNCS 4973, Berlin, Heidelberg, Italy: Springer-Verlag.

4. The hyper-cube framework for ant colony optimization;Blum;IEEE Transaction on Systems, Man, and Cybernetics – Part B,2004

5. Evolutionary computation control and cybernetics;Choenauer;Proceedings of the IEEE,1997

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