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| Verfasst von: | Balázs, Csaba [VerfasserIn]  |
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| | van Beekveld, Melissa [VerfasserIn] |
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| | Caron, Sascha [VerfasserIn] |
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| | Dillon, Barry M. [VerfasserIn] |
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| | Farmer, Ben [VerfasserIn] |
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| | Fowlie, Andrew [VerfasserIn] |
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| | Garrido-Merchán, Eduardo C. [VerfasserIn] |
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| | Handley, Will [VerfasserIn] |
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| | Hendriks, Luc [VerfasserIn] |
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| | Jóhannesson, Guðlaugur [VerfasserIn] |
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| | Leinweber, Adam [VerfasserIn] |
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| | Mamužić, Judita [VerfasserIn] |
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| | Martinez, Gregory D. [VerfasserIn] |
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| | Otten, Sydney [VerfasserIn] |
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| | de Austri, Roberto Ruiz [VerfasserIn] |
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| | Scott, Pat [VerfasserIn] |
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| | Searle, Zachary [VerfasserIn] |
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| | Stienen, Bob [VerfasserIn] |
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| | Vanschoren, Joaquin [VerfasserIn] |
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| | White, Martin [VerfasserIn] |
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| Titel: | A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications |
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| Verf.angabe: | The DarkMachines High Dimensional Sampling Group, Csaba Balázs, Melissa van Beekveld, Sascha Caron, Barry M. Dillon, Ben Farmer, Andrew Fowlie, Eduardo C. Garrido-Merchán, Will Handley, Luc Hendriks, Guðlaugur Jóhannesson, Adam Leinweber, Judita Mamužić, Gregory D. Martinez, Sydney Otten, Roberto Ruiz de Austri, Pat Scott, Zachary Searle, Bob Stienen, Joaquin Vanschoren, and Martin White |
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| E-Jahr: | 2021 |
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| Jahr: | 13 May 2021 |
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| Umfang: | 44 S. |
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| Fussnoten: | Gesehen am 02.06.2022 |
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| Titel Quelle: | Enthalten in: Journal of high energy physics |
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| Ort Quelle: | Berlin : Springer, 1997 |
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| Jahr Quelle: | 2021 |
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| Band/Heft Quelle: | (2021), 5, Artikel-ID 108, Seite 1-44 |
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| ISSN Quelle: | 1029-8479 |
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| Abstract: | Optimisation problems are ubiquitous in particle and astrophysics, and involve locating the optimum of a complicated function of many parameters that may be computationally expensive to evaluate. We describe a number of global optimisation algorithms that are not yet widely used in particle astrophysics, benchmark them against random sampling and existing techniques, and perform a detailed comparison of their performance on a range of test functions. These include four analytic test functions of varying dimensionality, and a realistic example derived from a recent global fit of weak-scale supersymmetry. Although the best algorithm to use depends on the function being investigated, we are able to present general conclusions about the relative merits of random sampling, Differential Evolution, Particle Swarm Optimisation, the Covariance Matrix Adaptation Evolution Strategy, Bayesian Optimisation, Grey Wolf Optimisation, and the PyGMO Artificial Bee Colony, Gaussian Particle Filter and Adaptive Memory Programming for Global Optimisation algorithms. |
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| DOI: | doi:10.1007/JHEP05(2021)108 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://doi.org/10.1007/JHEP05(2021)108 |
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| | DOI: https://doi.org/10.1007/JHEP05(2021)108 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Phenomenology of Field Theories in Higher Dimensions |
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| | Supersymmetry Phenomenology |
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| K10plus-PPN: | 1805741683 |
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| Verknüpfungen: | → Zeitschrift |
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¬A¬ comparison of optimisation algorithms for high-dimensional particle and astrophysics applications / Balázs, Csaba [VerfasserIn]; 13 May 2021 (Online-Ressource)
