Zobrazeno 1 - 10
of 139
pro vyhledávání: '"Nikolaus Hansen"'
Publikováno v:
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation, 2022, 26 (6), pp.1293--1305. ⟨10.1109/TEVC.2022.3210897⟩
IEEE Transactions on Evolutionary Computation, 2022, 26 (6), pp.1293--1305. ⟨10.1109/TEVC.2022.3210897⟩
open access; International audience; We present concepts and recipes for the anytime performance assessment when benchmarking optimization algorithms in a blackbox scenario. We consider runtime-oftentimes measured in number of blackbox evaluations ne
Publikováno v:
ACM SIGEVOlution. 14:1-4
Publikováno v:
GECCO 2022
GECCO 2022, Jul 2022, Boston, United States. ⟨10.1145/3512290.3528760⟩
GECCO 2022, Jul 2022, Boston, United States. ⟨10.1145/3512290.3528760⟩
International audience; In this paper, we investigate the effect of a learning rate for the mean in Evolution Strategies with recombination. We study the effect of a half-line search after the mean shift direction is established, hence the learning r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f31d7f44b92f3c1d6304f5eb285adc9
https://inria.hal.science/hal-03644404
https://inria.hal.science/hal-03644404
Autor:
Anne Auger, Nikolaus Hansen
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference Companion.
Autor:
Anne Auger, Nikolaus Hansen
Publikováno v:
ACM SIGEVOlution. 13:1-11
The paper Comparing Results of 31 Algorithms from the Black-Box Optimization Benchmarking BBOB-2009 received the 2020 SIGEVO Impact Award for ten-year impact, which was announce at the ACM GECCO 2020 conference. The work compares the performance of 3
Autor:
Nikolaus Hansen, Paul Dufossé
Publikováno v:
GECCO 2021-The Genetic and Evolutionary Computation Conference
GECCO 2021-The Genetic and Evolutionary Computation Conference, Jul 2021, Lille / Virtual, France
GECCO 2021-The Genetic and Evolutionary Computation Conference, Jul 2021, Lille / Virtual, France. ⟨10.1145/3449639.3459340⟩
GECCO
GECCO 2021-The Genetic and Evolutionary Computation Conference, Jul 2021, Lille / Virtual, France
GECCO 2021-The Genetic and Evolutionary Computation Conference, Jul 2021, Lille / Virtual, France. ⟨10.1145/3449639.3459340⟩
GECCO
International audience; In this paper, we investigate a non-elitist Evolution Strategy designed to handle black-box constraints by an adaptive Augmented Lagrangian penalty approach, AL-(µ/µw, λ)-CMA-ES, on problems with up to 28 constraints. Based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ecff94405022806a332d9eb87e368d7
https://hal.inria.fr/hal-03196365/file/to_submit_paper.pdf
https://hal.inria.fr/hal-03196365/file/to_submit_paper.pdf
Autor:
Eugénie Marescaux, Nikolaus Hansen
Publikováno v:
GECCO 2021-The Genetic and Evolutionary Computation Conference
GECCO 2021-The Genetic and Evolutionary Computation Conference, Jul 2021, Lille / Virtual, France
GECCO 2021-The Genetic and Evolutionary Computation Conference, Jul 2021, Lille / Virtual, France. ⟨10.1145/3449639.3459371⟩
GECCO
GECCO 2021-The Genetic and Evolutionary Computation Conference, Jul 2021, Lille / Virtual, France
GECCO 2021-The Genetic and Evolutionary Computation Conference, Jul 2021, Lille / Virtual, France. ⟨10.1145/3449639.3459371⟩
GECCO
International audience; The hypervolume indicator is widely used by multi-objective optimization algorithms and for assessing their performance. We investigate a set of $p$ vectors in the biobjective space that maximizes the hypervolume indicator wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a59c9d70ba2eed45485527642d51ce30
https://hal.archives-ouvertes.fr/hal-03205870/file/camera-ready-2021-04-22.pdf
https://hal.archives-ouvertes.fr/hal-03205870/file/camera-ready-2021-04-22.pdf
Autor:
Anne Auger, Nikolaus Hansen
Publikováno v:
GECCO 2021-Genetic and Evolutionary Computation Conference Companion
Francisco Chicano; Krzysztof Krawiec. GECCO 2021-Genetic and Evolutionary Computation Conference Companion, Jul 2021, Lille, France. Association for Computing Machinery (ACM), pp.339-340, 2021, GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion. ⟨10.1145/3449726.3461424⟩
GECCO Companion
Francisco Chicano; Krzysztof Krawiec. GECCO 2021-Genetic and Evolutionary Computation Conference Companion, Jul 2021, Lille, France. Association for Computing Machinery (ACM), pp.339-340, 2021, GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion. ⟨10.1145/3449726.3461424⟩
GECCO Companion
Benchmarking is a compulsory task to assess the performance of a (new) optimization algorithm. While this appears as a mainly technical task, there are surprisingly many methodological problems that arise when benchmarking algorithms. Over the past d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::facac0b3dbcfbfb8dc79dd9045deba7d
https://inria.hal.science/hal-03538591
https://inria.hal.science/hal-03538591
Publikováno v:
GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion
GECCO '21-Genetic and Evolutionary Computation Conference Companion
GECCO '21-Genetic and Evolutionary Computation Conference Companion, Jul 2021, Lille / Virtual, France. pp.8, ⟨10.1145/3449726.3463207⟩
GECCO '21 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion
GECCO 2021 Companion-Genetic and Evolutionary Computation Conference Companion
GECCO 2021 Companion-Genetic and Evolutionary Computation Conference Companion, Jul 2021, Lille / Virtual, France. pp.8, ⟨10.1145/3449726.3463207⟩
GECCO Companion
GECCO '21-Genetic and Evolutionary Computation Conference Companion
GECCO '21-Genetic and Evolutionary Computation Conference Companion, Jul 2021, Lille / Virtual, France. pp.8, ⟨10.1145/3449726.3463207⟩
GECCO '21 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion
GECCO 2021 Companion-Genetic and Evolutionary Computation Conference Companion
GECCO 2021 Companion-Genetic and Evolutionary Computation Conference Companion, Jul 2021, Lille / Virtual, France. pp.8, ⟨10.1145/3449726.3463207⟩
GECCO Companion
International audience; Direct Multisearch (DMS) and MultiGLODS are two derivative-free solvers for approximating the entire set of Pareto-optimal solutions of a multiobjective (blackbox) problem. They both follow the search/poll step approach of dir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebdf2efcdf98a308bc0743b72731c3b1
https://hal.inria.fr/hal-03284476/file/DMS-MultiGLODS-BIOBJmultiple-submitted.pdf
https://hal.inria.fr/hal-03284476/file/DMS-MultiGLODS-BIOBJmultiple-submitted.pdf
Publikováno v:
Journal of Optimization Theory and Applications
Journal of Optimization Theory and Applications, Springer Verlag, 2021
Journal of Optimization Theory and Applications, 2021
Journal of Optimization Theory and Applications, Springer Verlag, 2021
Journal of Optimization Theory and Applications, 2021
International audience; Scaling-invariant functions preserve the order of points when the points are scaled by the same positive scalar (with respect to a unique reference point). Composites of strictly monotonic functions with positively homogeneous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7212742b50a45d80413a0a27f61541bc
http://arxiv.org/abs/2101.03755
http://arxiv.org/abs/2101.03755