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pro vyhledávání: '"Gonzalez, Sebastian Rojas"'
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
Multi-objective Bayesian optimization aims to find the Pareto front of optimal trade-offs between a set of expensive objectives while collecting as few samples as possible. In some cases, it is possible to evaluate the objectives separately, and a di
Externí odkaz:
http://arxiv.org/abs/2302.01310
We consider bi-objective ranking and selection problems, where the goal is to correctly identify the Pareto optimal solutions among a finite set of candidates for which the two objective outcomes have been observed with uncertainty (e.g., after runni
Externí odkaz:
http://arxiv.org/abs/2209.03919
Autor:
Morales-Hernández, Alejandro, Gonzalez, Sebastian Rojas, Van Nieuwenhuyse, Inneke, Couckuyt, Ivo, Jordens, Jeroen, Witters, Maarten, Van Doninck, Bart
Adhesive joints are increasingly used in industry for a wide variety of applications because of their favorable characteristics such as high strength-to-weight ratio, design flexibility, limited stress concentrations, planar force transfer, good dama
Externí odkaz:
http://arxiv.org/abs/2112.08760
Autor:
Morales-Hernández, Alejandro, Van Nieuwenhuyse, Inneke, Gonzalez, Sebastian Rojas, Jordens, Jeroen, Witters, Maarten, Van Doninck, Bart
Automotive companies are increasingly looking for ways to make their products lighter, using novel materials and novel bonding processes to join these materials together. Finding the optimal process parameters for such adhesive bonding process is cha
Externí odkaz:
http://arxiv.org/abs/2112.06769
Hyperparameter optimization (HPO) is a necessary step to ensure the best possible performance of Machine Learning (ML) algorithms. Several methods have been developed to perform HPO; most of these are focused on optimizing one performance measure (us
Externí odkaz:
http://arxiv.org/abs/2111.13755
Akademický článek
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We consider multiobjective ranking and selection problems, where the goal is to correctly identify the Pareto optimal solutions among a finite set of candidates for which the multiple objective outcomes have been observed with uncertainty (e.g., afte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ce012f71f3312b387244e71d4690cfd
http://arxiv.org/abs/2209.03919
http://arxiv.org/abs/2209.03919
Autor:
Morales-Hern��ndez, Alejandro, Van Nieuwenhuyse, Inneke, Gonzalez, Sebastian Rojas, Jordens, Jeroen, Witters, Maarten, Van Doninck, Bart
Automotive companies are increasingly looking for ways to make their products lighter, using novel materials and novel bonding processes to join these materials together. Finding the optimal process parameters for such adhesive bonding process is cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c84312116bff2430c7a4f2b56458d4e
http://arxiv.org/abs/2112.06769
http://arxiv.org/abs/2112.06769
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.