Multiobjective optimization with expensive functions. Survey on the state of the art
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 technic...
| Autores Principales: | Calderón-Arce, Cindy, Alvarado-Moya, Pablo |
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| Formato: | Artículo |
| Idioma: | Español |
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Editorial Tecnológica de Costa Rica
2016
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https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/2582 https://hdl.handle.net/2238/9014 |
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RepoTEC9014 |
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RepoTEC90142017-09-19T20:38:14Z Multiobjective optimization with expensive functions. Survey on the state of the art Optimización multiobjetivo con funciones de alto costo computacional. Revisión del estado del arte Calderón-Arce, Cindy Alvarado-Moya, Pablo 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 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. La optimización multiobjetivo es un proceso complejo, más aún cuando las funciones objetivo que definen los problemas no están bien condicionadas o no cumplen con los requisitos mínimos para garantizar la convergencia de algoritmos clásicos, como convexidad, continuidad y diferenciabilidad. La literatura, entonces, se enfoca en el estudio de técnicas de optimización para problemas definidos por funciones con características particulares, por ejemplo, que el costo de su evaluación sea elevado, no convexas o no diferenciables. Este artículo hace una revisión general de las técnicas predominantes en problemas este tipo de funciones. 2016-06-10 2017-09-19T20:38:14Z 2017-09-19T20:38:14Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artículo revisado por pares https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/2582 10.18845/tm.v29i5.2582 https://hdl.handle.net/2238/9014 spa https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/2582/2367 Copyright (c) 2016 Revista Tecnología en Marcha application/pdf Editorial Tecnológica de Costa Rica Revista Tecnología en Marcha; Revista Tecnología en Marcha. Número Especial Matemática Aplicada 2016; pág. 16-24 2215-3241 0379-3982 |
| institution |
Tecnológico de Costa Rica |
| collection |
Repositorio TEC |
| language |
Español |
| topic |
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 |
| spellingShingle |
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 Calderón-Arce, Cindy Alvarado-Moya, Pablo Multiobjective optimization with expensive functions. Survey on the state of the art |
| description |
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. |
| format |
Artículo |
| author |
Calderón-Arce, Cindy Alvarado-Moya, Pablo |
| author_sort |
Calderón-Arce, Cindy |
| title |
Multiobjective optimization with expensive functions. Survey on the state of the art |
| title_short |
Multiobjective optimization with expensive functions. Survey on the state of the art |
| title_full |
Multiobjective optimization with expensive functions. Survey on the state of the art |
| title_fullStr |
Multiobjective optimization with expensive functions. Survey on the state of the art |
| title_full_unstemmed |
Multiobjective optimization with expensive functions. Survey on the state of the art |
| title_sort |
multiobjective optimization with expensive functions. survey on the state of the art |
| publisher |
Editorial Tecnológica de Costa Rica |
| publishDate |
2016 |
| url |
https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/2582 https://hdl.handle.net/2238/9014 |
| _version_ |
1796142606190641152 |
| score |
12.041432 |