Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Winter, R. de"'
Publikováno v:
GECCO '22: Proceedings of the genetic and evolutionary computation conference, 511-519. New York: Association for Computing Machinery
STARTPAGE=511;ENDPAGE=519;TITLE=GECCO '22: Proceedings of the genetic and evolutionary computation conference
STARTPAGE=511;ENDPAGE=519;TITLE=GECCO '22: Proceedings of the genetic and evolutionary computation conference
Bayesian optimization is often used to optimize expensive black box optimization problems with long simulation times. Typically Bayesian optimization algorithms propose one solution per iteration. The downside of this strategy is the sub-optimal use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10f8a062c7b02789093ad1b9593e04ec
https://doi.org/10.1145/3512290.3528696
https://doi.org/10.1145/3512290.3528696
Publikováno v:
None
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::82efdb10cf018feb42a782458f504aee
https://hdl.handle.net/1887/3443862
https://hdl.handle.net/1887/3443862
Autor:
Hanse, G., Winter, R. de, Stein, B. van, Bäck, T.H.W., Nicosia, G., Ojha, V., Malfa, E. La, Malfa, G. La, Jansen, G., Pardalos, P.M., Giuffrida, G., Umeton, R.
Publikováno v:
Machine Learning, Optimization, and Data Science. LOD 2021, 144-156. Cham: Springer
STARTPAGE=144;ENDPAGE=156;TITLE=Machine Learning, Optimization, and Data Science. LOD 2021
STARTPAGE=144;ENDPAGE=156;TITLE=Machine Learning, Optimization, and Data Science. LOD 2021
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::814ac04cc416d31740bd786e5847d31b
http://hdl.handle.net/1887/3279362
http://hdl.handle.net/1887/3279362
Autor:
Winter, R. de, Stein, B. van, Bäck, T.H.W., Ishibuchi, H., Zhang, Q., Cheng, R., Li, K., Li, H., Wang, H., Zhou, A.
Publikováno v:
Evolutionary Multi-Criterion Optimization, 270-282. Cham: Springer Nature Switzerland AG 2021
STARTPAGE=270;ENDPAGE=282;TITLE=Evolutionary Multi-Criterion Optimization
Lecture Notes in Computer Science ISBN: 9783030720612
EMO
STARTPAGE=270;ENDPAGE=282;TITLE=Evolutionary Multi-Criterion Optimization
Lecture Notes in Computer Science ISBN: 9783030720612
EMO
This paper proposes a novel Self-Adaptive algorithm for Multi-Objective Constrained Optimization by using Radial Basis Function Approximations, SAMO-COBRA. The algorithm automatically determines the best Radial Basis Function-fit as surrogates for th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5565f8e6b98496a37964feea12b69a7e
https://doi.org/10.1007/978-3-030-72062-9_22
https://doi.org/10.1007/978-3-030-72062-9_22
Publikováno v:
COMPIT'21, 185-196. Mülheim: Hamburg University of Technology
STARTPAGE=185;ENDPAGE=196;TITLE=COMPIT'21
STARTPAGE=185;ENDPAGE=196;TITLE=COMPIT'21
This contribution shows how, in the preliminary design stage, naval architects can make more informed decisions by using machine learning. In this ship design phase, little information is available, and decisions need to be made in a limited amount o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::11c0269ffdeb5a9f27d08adc310a1310
https://hdl.handle.net/1887/3245497
https://hdl.handle.net/1887/3245497
Publikováno v:
Walters, D.
This book is one result of a study commissioned by the European Foundation for the Improvement of Living and Working Conditions into national health and safety policies and strategies in thirteen member states of the European Union. The goal of the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7e9c2cab56a8018719a3d54b9cf6124a
http://resolver.tudelft.nl/uuid:c7ceea73-12ef-4bbe-8253-1ec2d73b95c6
http://resolver.tudelft.nl/uuid:c7ceea73-12ef-4bbe-8253-1ec2d73b95c6
Publikováno v:
Nutrition Research; 1995, Vol. 15 Issue: 2 p211-211, 1p
