Zobrazeno 1 - 10
of 608
pro vyhledávání: '"PAREGO"'
Multi-objective optimization is a widely studied problem in diverse fields, such as engineering and finance, that seeks to identify a set of non-dominated solutions that provide optimal trade-offs among competing objectives. However, the computation
Externí odkaz:
http://arxiv.org/abs/2401.06649
Akademický článek
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Publikováno v:
World congress on global optimization
World congress on global optimization, Feb 2015, Gainesville, United States
World congress on global optimization, Feb 2015, Gainesville, United States
International audience; This paper deals with multi-objective optimization in the case of expensive objective functions. Such problem arises in a lot of engineering applications, including for instance automotive system design where the main purpose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a490fb8e4957c75e095cb9aa8e9e72ac
https://hal.archives-ouvertes.fr/hal-01111695
https://hal.archives-ouvertes.fr/hal-01111695
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319541563
EMO
EMO
Computationally expensive simulations play an increasing role in engineering design, but their use in multi-objective optimization is heavily resource constrained. Specialist optimizers, such as ParEGO, exist for this setting, but little knowledge is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48411a24a5be9a8f99c5089926f207e6
https://doi.org/10.1007/978-3-319-54157-0_1
https://doi.org/10.1007/978-3-319-54157-0_1
Publikováno v:
Journal of Global Optimization
Journal of Global Optimization, Springer Verlag, 2017, 17 (1), pp.79-96. ⟨10.1007/s10898-016-0419-3⟩
Journal of Global Optimization, Springer Verlag, 2017, 17 (1), pp.79-96. ⟨10.1007/s10898-016-0419-3⟩
International audience; This paper deals with multi-objective optimization in the case of expensive objective functions. Such a problem arises frequently in engineering applications where the main purpose is to find a set of optimal solutions in a li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce1802bdaec2191936d7710f2c6d6a5a
https://hal.archives-ouvertes.fr/hal-01309586
https://hal.archives-ouvertes.fr/hal-01309586
Autor:
Hakanen, Jussi, Knowles, Joshua D.
In this paper, an interactive version of the ParEGO algorithm is introduced for identifying most preferred solutions for computationally expensive multiobjective optimization problems. It enables a decision maker to guide the search with her preferen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1222::9a22085507c37d8ef5b6e0c233a5bfa9
http://urn.fi/URN:NBN:fi:jyu-201702201489
http://urn.fi/URN:NBN:fi:jyu-201702201489
Autor:
Jussi Hakanen, Joshua Knowles
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319541563
EMO
EMO
In this paper, an interactive version of the ParEGO algorithm is introduced for identifying most preferred solutions for computationally expensive multiobjective optimization problems. It enables a decision maker to guide the search with her preferen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72221995138c45f1b52f5ee2b0542d84
https://doi.org/10.1007/978-3-319-54157-0_20
https://doi.org/10.1007/978-3-319-54157-0_20
Autor:
Joshua Knowles
Publikováno v:
IEEE Transactions on Evolutionary Computation. 10:50-66
This paper concerns multiobjective optimization in scenarios where each solution evaluation is financially and/or temporally expensive. We make use of nine relatively low-dimensional, nonpathological, real-valued functions, such as arise in many appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cc71de25323cda247b61cfb830c0116
https://doi.org/10.1109/tevc.2005.851274
https://doi.org/10.1109/tevc.2005.851274
