Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Diederick Vermetten"'
The code and figures for the publication "Assessing Module Importance in modCMA-ES and modDE"
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85644b6976da3faeef5816bf2eadc0c6
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783031302282
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fceff5c09b4cb7a0ca7e23f443431d9c
https://doi.org/10.1007/978-3-031-30229-9_25
https://doi.org/10.1007/978-3-031-30229-9_25
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783031302282
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b22bc50c31a0e5925dfb3582617acc61
https://doi.org/10.1007/978-3-031-30229-9_22
https://doi.org/10.1007/978-3-031-30229-9_22
Autor:
Xavier Bonet-Monroig, Hao Wang, Diederick Vermetten, Bruno Senjean, Charles Moussa, Thomas Bäck, Vedran Dunjko, Thomas E. O'Brien
Publikováno v:
Physical Review A, 107(3):032407
Variational quantum algorithms (VQAs) offer a promising path toward using near-term quantum hardware for applications in academic and industrial research. These algorithms aim to find approximate solutions to quantum problems by optimizing a parametr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c19d608b38e2814f0b1b30275e3e52e
http://hdl.handle.net/1887/3570441
http://hdl.handle.net/1887/3570441
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783031302282
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0365c32691695019a96fa20f156cdb96
https://doi.org/10.1007/978-3-031-30229-9_17
https://doi.org/10.1007/978-3-031-30229-9_17
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference Companion.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af4b7924a71fb30855d0dd06e06e768a
https://doi.org/10.1145/3520304.3533665
https://doi.org/10.1145/3520304.3533665
Publikováno v:
ACM Transactions on Evolutionary Learning and Optimization, 2(1):3. Association for Computing Machinery (ACM)
Benchmarking and performance analysis play an important role in understanding the behaviour of iterative optimization heuristics (IOHs) such as local search algorithms, genetic and evolutionary algorithms, Bayesian optimization algorithms, etc. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b3623643d66416d25063c38ef79e014
https://hdl.handle.net/1887/3513858
https://hdl.handle.net/1887/3513858
Autor:
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031147135
17th Proceedings of Parallel Problem Solving from Nature-(PPSN) 2022
17th Proceedings of Parallel Problem Solving from Nature-(PPSN) 2022, 2022, Dortmund, Germany. pp.46-60, ⟨10.1007/978-3-031-14714-2_4⟩
17th Proceedings of Parallel Problem Solving from Nature-(PPSN) 2022
17th Proceedings of Parallel Problem Solving from Nature-(PPSN) 2022, 2022, Dortmund, Germany. pp.46-60, ⟨10.1007/978-3-031-14714-2_4⟩
International audience; Per-instance algorithm selection seeks to recommend, for a given problem instance and a given performance criterion, one or several suitable algorithms that are expected to perform well for the particular setting. The selectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7473007a382ba6dfa1bd61d32458cdf2
The stochastic nature of iterative optimization heuristics leads to inherently noisy performance measurements. Since these measurements are often gathered once and then used repeatedly, the number of collected samples will have a significant impact o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bde7d167956bebdd95e7aac3c95a4fc9
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031147135
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79e8d3df69cf334508e4685bc89230b2
https://doi.org/10.1007/978-3-031-14714-2_3
https://doi.org/10.1007/978-3-031-14714-2_3