Evolutionary Surrogate Optimization of an Industrial Sintering Process : Genetic Algorithms
- Autor
- MITRA, Kishalay1
[1] Department of Chemical Engineering, Indian Institute of Technology Hyderabad, Yeddumailaram, Hyderabad, Andhra Pradesh, India - Fuente
Materials and manufacturing processes. 2013, Vol 28, Num 7-9, pp 768-775, 8 p ; ref : 43 ref
- ISSN
- 1042-6914
- Campo Científico
- Materials; Metallurgy, welding
- Editor
- Taylor & Francis, Colchester
- País de la publicación
- United Kingdom
- Tipo de documento
- Article
- Idioma
- English
- Palabra clave de autor
- NSGA II Neural network Pareto Sintering Surrogate modeling
- Palabra clave (fr)
- Algorithme génétique Algorithme évolutionniste Application industrielle Epaisseur Frittage Modélisation Optimisation Réseau neuronal
- Palabra clave (in)
- Genetic algorithms Evolutionary algorithm Industrial application Thickness Sintering Modelling Optimization Neural networks
- Palabra clave (es)
- Algoritmo evoluciónista Aplicación industrial
- Clasificación
- Pascal
- 001 Exact sciences and technology / 001B Physics / 001B80 Cross-disciplinary physics: materials science; rheology / 001B80A Materials science / 001B80A20 Materials synthesis; materials processing
- Disciplina
- Physics and materials science
- Procedencia
- Inist-CNRS
- Base de datos
- PASCAL
- Identificador INIST
- 27907712
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1080/10426914.2012.736668 
https://dx.doi.org/10.1080/10426914.2012.736668
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