Optimization of High-Dimensional Functions through Hypercube Evaluation

A novel learning algorithm for solving global numerical optimization problems is proposed. The proposed learning algorithm is intense stochastic search method which is based on evaluation and optimization of a hypercube and is called the hypercube optimization (HO) algorithm. The HO algorithm compri...

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Detalles Bibliográficos
Autores principales: Abiyev, Rahib H., Tunay, Mustafa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4538776/
https://www.ncbi.nlm.nih.gov/pubmed/26339237
http://dx.doi.org/10.1155/2015/967320

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4538776/
https://www.ncbi.nlm.nih.gov/pubmed/26339237
http://dx.doi.org/10.1155/2015/967320

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