نتائج البحث - "Expensive combinatorial optimization"

1

مؤتمر

Continuous Surrogate-Based Optimization Algorithms Are Well-Suited for Expensive Discrete Problems

المؤلفون: Karlsson, R.K.A. (author), Bliek, L. (author), Verwer, S.E. (author), de Weerdt, M.M. (author)

المساهمون: Baratchi, Mitra (editor), Cao, Lu (editor), Kosters, Walter A. (editor), Lijffijt, Jefrey (editor), van Rijn, Jan N. (editor), Takes, Frank W. (editor)

مصطلحات موضوعية: Bayesian optimization, Black-box optimization, Expensive combinatorial optimization, Surrogate models

العلاقة: http://www.scopus.com/inward/record.url?scp=85111283688&partnerID=8YFLogxKTest; Artificial Intelligence and Machine Learning - 32nd Benelux Conference, BNAIC/Benelearn 2020, Revised Selected Papers--9783030766399; 32nd Benelux Conference on Artiﬁcial Intelligence and Belgian-Dutch Conference on Machine Learning, BNAIC/Benelearn 2020--819caf19-8222-40c1-a7bb-98473c82b7f0; http://resolver.tudelft.nl/uuid:429e21de-912c-412a-9e76-a65b2205bad9Test; https://doi.org/10.1007/978-3-030-76640-5_4Test

الإتاحة: https://doi.org/10.1007/978-3-030-76640-5_4Test
http://resolver.tudelft.nl/uuid:429e21de-912c-412a-9e76-a65b2205bad9Test

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2

مؤتمر

A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning

المؤلفون: Dushatskiy, A. (author), Alderliesten, T. (author), Bosman, P.A.N. (author)

مصطلحات موضوعية: Ensemble learning, Expensive combinatorial optimization, Surrogate-assisted evolutionary algorithms

العلاقة: http://www.scopus.com/inward/record.url?scp=85110096162&partnerID=8YFLogxKTest; GECCO 2021 - Proceedings of the 2021 Genetic and Evolutionary Computation Conference--9781450383509; 2021 Genetic and Evolutionary Computation Conference, GECCO 2021--d469dd9e-a69f-4e74-b77b-10e5e819e9fd; http://resolver.tudelft.nl/uuid:d0aac26d-bff0-4fa7-8d43-a377736f73c5Test; https://doi.org/10.1145/3449639.3459306Test

الإتاحة: https://doi.org/10.1145/3449639.3459306Test
http://resolver.tudelft.nl/uuid:d0aac26d-bff0-4fa7-8d43-a377736f73c5Test

View record in BASE

3

A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning

المؤلفون: Peter A. N. Bosman, Tanja Alderliesten, Arkadiy Dushatskiy

المساهمون: Radiotherapy

المصدر: GECCO 2021-Proceedings of the 2021 Genetic and Evolutionary Computation Conference, 583-591
STARTPAGE=583;ENDPAGE=591;TITLE=GECCO 2021-Proceedings of the 2021 Genetic and Evolutionary Computation Conference
GECCO
GECCO 2021-Proceedings of the 2021 Genetic and Evolutionary Computation Conference

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Optimization problem, Computer science, Computer Science - Artificial Intelligence, Evolutionary algorithm, 0102 computer and information sciences, 02 engineering and technology, Machine learning, computer.software_genre, 01 natural sciences, Machine Learning (cs.LG), Expensive combinatorial optimization, Surrogate model, Ensemble learning, 0202 electrical engineering, electronic engineering, information engineering, Neural and Evolutionary Computing (cs.NE), Surrogate-assisted evolutionary algorithms, Fitness function, business.industry, Bayesian optimization, Computer Science - Neural and Evolutionary Computing, Partition (database), Artificial Intelligence (cs.AI), ComputingMethodologies_PATTERNRECOGNITION, 010201 computation theory & mathematics, Benchmark (computing), 020201 artificial intelligence & image processing, Artificial intelligence, business, computer

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::414d980b368d72d34b05a798ca942edeTest
http://www.scopus.com/inward/record.url?scp=85110096162&partnerID=8YFLogxKTest

4

Continuous Surrogate-Based Optimization Algorithms Are Well-Suited for Expensive Discrete Problems

المؤلفون: Karlsson, R.K.A., Bliek, L., Verwer, S.E., de Weerdt, M.M., Baratchi, Mitra, Cao, Lu, Kosters, Walter A., Lijffijt, Jefrey, van Rijn, Jan N., Takes, Frank W.

المصدر: Communications in Computer and Information Science ISBN: 9783030766399
BNAIC/BENELEARN (Selected Papers)
Artificial Intelligence and Machine Learning-32nd Benelux Conference, BNAIC/Benelearn 2020, Revised Selected Papers

مصطلحات موضوعية: Optimization problem, Computer science, Rounding, Bayesian optimization, Structure (category theory), Set (abstract data type), Expensive combinatorial optimization, symbols.namesake, Surrogate model, Surrogate models, Black-box optimization, symbols, Benchmark (computing), Gaussian process, Algorithm