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New developments in evolutionary computation research /
A common approach for solving simulation-driven engineering problems is by using metamodel-assisted optimization algorithms, namely, in which a metamodel approximates the computationally expensive simulation and provides predicted values at a lower computational cost. Such algorithms typically gener...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hauppauge, New York :
Nova Science Publisher's Inc.,
[2014]
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| Colección: | Computer science, technology and applications.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | A common approach for solving simulation-driven engineering problems is by using metamodel-assisted optimization algorithms, namely, in which a metamodel approximates the computationally expensive simulation and provides predicted values at a lower computational cost. Such algorithms typically generate an initial sample of solutions which are then used to train a preliminary metamodel and to initiate an optimization process. One approach for generating the initial sample is with the design of experiment methods which are statistically oriented, while the more recent search-driven sampling appr. |
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| Notas: | Includes index. |
| Descripción Física: | 1 online resource |
| ISBN: | 9781634635257 1634635256 |