Multiobjective optimization with expensive functions. Survey on the state of the art
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| Autores: | , |
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| 格式: | artículo original |
| 狀態: | Versión publicada |
| Fecha de Publicación: | 2016 |
| 實物特徵: | The multi-objective optimization is a complex process, even more when the functions that define the problems are not well conditioned or do not meet the minimum set requirements to ensure the convergence of classical algorithms, such as convexity, continuity and differentiability. Hence, the technical literature focuses on optimization techniques for problems defined by functions with specific characteristics, like high evaluation cost, non-convexity or non-differentiability. This article provides an overview of some of the prevailing techniques for problems with these kind of functions. |
| País: | Portal de Revistas TEC |
| 機構: | Instituto Tecnológico de Costa Rica |
| Repositorio: | Portal de Revistas TEC |
| 語言: | Español |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/2582 |
| 在線閱讀: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/2582 |
| Palabra clave: | Multi-objective optimization computational cost evolutionary algorithm aproximations gaussian models pseudo response surface Optimización multiobjetivo costo computacional algoritmos evolutivos aproximaciones modelos gaussianos superficies de seudorespuesta |