Advances in Neural Networks and Hybrid-Metaheuristics: Theory, Algorithms, and Novel Engineering Applications | Zendy

Marco A. Moreno-Armendáriz | Zendy; Martin Hagan | Zendy; Enrique Alba | Zendy; José de Jesús Rubio | Zendy; Carlos A. CruzVillar | Zendy; Guillermo Leguizamón | Zendy

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Advances in Neural Networks and Hybrid-Metaheuristics: Theory, Algorithms, and Novel Engineering Applications

Author(s) -

Marco A. Moreno-Armendáriz,

Martin Hagan,

Enrique Alba,

José de Jesús Rubio,

Carlos A. CruzVillar,

Guillermo Leguizamón

Publication year - 2016

Publication title -

computational intelligence and neuroscience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.605

H-Index - 52

eISSN - 1687-5273

pISSN - 1687-5265

DOI - 10.1155/2016/3263612

Subject(s) - metaheuristic , computer science , artifact (error) , artificial neural network , algorithm , artificial intelligence , machine learning

Among the many hot lines of modern research, hybridization stands out. Analyzing basic building blocks (ideas, algorithms, and procedures) and then building a new artifact (algorithm, machine, and tool) are in the core of Science. In this journal issue, we want to gather together some new and interesting ideas on neural networks and hybrid metaheuristics, two promising domains for building algorithms and techniques of higher efficiency and success.

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