Výsledky vyhledávání - Per-Instance Algorithm Configuration

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    Per-Instance Algorithm Configuration in Homogeneous Instance Spaces: A Use Case in Reconfigurable Assembly Systems Autor Guzman Vargas, Daniel, Gautama, Sidharta, Uzunosmanoglu, Mehmet, Raa, Birger, Limère, Veronique

    ISSN: 2076-3417, 2076-3417
    Vydáno: Basel MDPI AG 01.07.2024
    Vydáno v Applied sciences (01.07.2024)
    “…-all” approach, recent studies have shown the potential of per-instance algorithm configuration (PIAC…”
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    Journal Article
  2. 2

    Per-instance algorithm configuration for production planning in a reconfigurable assembly system Autor Vargas, Daniel Guzman, Gautama, Sidharta, Uzunosmanoglu, Mehmet, Raa, Birger, Limere, Veronique

    ISSN: 2158-8481
    Vydáno: IEEE 25.06.2024
    “… solution of these problems. In this work, we investigate the use of Per-instance algorithm configuration (PIAC…”
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  3. 3

    Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP Autor Vinzent Seiler, Moritz, Rook, Jeroen, Heins, Jonathan, Ludger Preub, Oliver, Bossek, Jakob, Trautmann, Heike

    ISSN: 2472-8322
    Vydáno: IEEE 05.12.2023
    “… We explore the potential of Per-Instance Algorithm Configuration (PIAC) by using Reinforcement Learning (RL…”
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  4. 4

    Stochastic local search and parameters recommendation: a case study on flowshop problems Autor Pavelski, Lucas M., Delgado, Myriam, Kessaci, Marie‐Éléonore, Freitas, Alex A.

    ISSN: 0969-6016, 1475-3995
    Vydáno: Oxford Blackwell Publishing Ltd 01.03.2023
    “…‐instance Algorithm Configuration Problem, is still considered a challenging task. This paper investigates the use of meta…”
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    Journal Article
  5. 5

    Beyond Landscape Analysis: DynamoRep Features For Capturing Algorithm-Problem Interaction In Single-Objective Continuous Optimization Autor Cenikj, Gjorgjina, Petelin, Gašper, Doerr, Carola, Korošec, Peter, Eftimov, Tome

    ISSN: 1530-9304, 1530-9304
    Vydáno: United States 07.03.2025
    Vydáno v Evolutionary computation (07.03.2025)
    “… of optimization algorithms, and the quality of existing problem benchmarks, as well as for automated per-instance algorithm selection and configuration approaches…”
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  6. 6

    Automated Algorithm Selection: Survey and Perspectives Autor Kerschke, Pascal, Hoos, Holger H, Neumann, Frank, Trautmann, Heike

    ISSN: 1530-9304, 1530-9304
    Vydáno: United States 01.03.2019
    Vydáno v Evolutionary computation (01.03.2019)
    “…It has long been observed that for practically any computational problem that has been intensely studied, different instances are best solved using different algorithms…”
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  7. 7

    Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes Autor Eftimov, Tome, Popovski, Gorjan, Renau, Quentin, Korosec, Peter, Doerr, Carola

    Vydáno: IEEE 01.12.2020
    “…Automated per-instance algorithm selection and configuration have shown promising performances for a number of classic optimization problems, including satisfiability, AI planning, and TSP…”
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  8. 8

    Elastic Task Offloading and Resource Allocation Over Hybrid Cloud: A Reinforcement Learning Approach Autor Zhang, Jiayin, Yu, Huiqun, Fan, Guisheng, Li, Zengpeng

    ISSN: 1932-4537, 1932-4537
    Vydáno: New York IEEE 01.04.2024
    “…Hybrid cloud is an emerging computing cloud solution that leverages the power of the public cloud, without abandoning the computation resources of existing…”
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  9. 9

    Characterising fitness landscapes with fitness-probability cloud and its applications to algorithm configuration Autor Lu, Guanzhou

    Vydáno: ProQuest Dissertations & Theses 01.01.2014
    “… instances, even to dynamically determine the best algorithm configuration during different stages of a search algorithm…”
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    Dissertation
  10. 10

    Generating Instances with Performance Differences for More Than Just Two Algorithms Autor Bossek, Jakob, Wagner, Markus

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 29.04.2021
    Vydáno v arXiv.org (29.04.2021)
    “… Repeating this process is useful to gain insights into strengths/weaknesses of certain algorithms or to build a set of instances with strong performance differences as a foundation for automatic per…”
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    An Analysis of Effective Per-instance Tailored GAs for the Permutation Flowshop Scheduling Problem Autor Bacha, Sarra Zohra Ahmed, Tayeb, Fatima Benbouzid-Si, Benatchba, Karima

    ISSN: 1877-0509, 1877-0509
    Vydáno: Elsevier B.V 2023
    Vydáno v Procedia computer science (2023)
    “…In this paper, we analyze the results of two hyper-heuristics HHGA and HHabs that generate per-instances genetic algorithms for the permutation flow shop problem…”
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    Journal Article
  13. 13

    Selection-based Per-Instance Heuristic Generation for Protein Structure Prediction of 2D HP Model Autor Misir, Mustafa

    Vydáno: IEEE 05.12.2021
    “… The resulting structure directly relates to the functionalities of the protein. There are a wide range of algorithms to address Protein Structure Prediction as an optimization problem…”
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  14. 14

    Performance prediction using support vector machine for the configuration of optimization algorithms Autor Afia, Abdellatif El, Sarhani, Malek

    Vydáno: IEEE 01.10.2017
    “… Our approach consists of advocating making the decision of finding the most suitable configuration on a per-instance analysis based on a supervised machine learning model…”
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  15. 15

    Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes Autor Tome Eftimov, Popovski, Gorjan, Renau, Quentin, Korosec, Peter, Doerr, Carola

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 30.09.2020
    Vydáno v arXiv.org (30.09.2020)
    “…Automated per-instance algorithm selection and configuration have shown promising performances for a number of classic optimization problems, including satisfiability, AI planning, and TSP…”
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    Paper
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    The Algorithm Configuration Problem Autor Iommazzo, Gabriele, D'Ambrosio, Claudia, Frangioni, Antonio, Liberti, Leo

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 01.03.2024
    Vydáno v arXiv.org (01.03.2024)
    “… This article delves into the Algorithm Configuration Problem, focused on optimizing parametrized algorithms for solving specific instances of decision/optimization problems…”
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  17. 17

    RF+clust for Leave-One-Problem-Out Performance Prediction Autor Nikolikj, Ana, Doerr, Carola, Tome Eftimov

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 24.01.2023
    Vydáno v arXiv.org (24.01.2023)
    “…Per-instance automated algorithm configuration and selection are gaining significant moments in evolutionary computation in recent years…”
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    Distance approximation to support customer selection in vehicle routing problems Autor Akkerman, Fabian, Mes, Martijn

    ISSN: 0254-5330, 1572-9338
    Vydáno: New York Springer US 01.07.2025
    Vydáno v Annals of operations research (01.07.2025)
    “… The model is validated on a fictional case with different spatial instances considering both a backordering and lost sales configuration, and on a…”
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    Journal Article
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    ASlib: A benchmark library for algorithm selection Autor Bischl, Bernd, Kerschke, Pascal, Kotthoff, Lars, Lindauer, Marius, Malitsky, Yuri, Fréchette, Alexandre, Hoos, Holger, Hutter, Frank, Leyton-Brown, Kevin, Tierney, Kevin, Vanschoren, Joaquin

    ISSN: 0004-3702, 1872-7921
    Vydáno: Elsevier B.V 01.08.2016
    Vydáno v Artificial intelligence (01.08.2016)
    “…The task of algorithm selection involves choosing an algorithm from a set of algorithms on a per-instance basis in order to exploit the varying performance of algorithms over a set of instances…”
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    Journal Article
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    Automated Algorithm Selection: Survey and Perspectives Autor Kerschke, Pascal, Hoos, Holger H, Neumann, Frank, Trautmann, Heike

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 28.11.2018
    Vydáno v arXiv.org (28.11.2018)
    “…It has long been observed that for practically any computational problem that has been intensely studied, different instances are best solved using different algorithms…”
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    Paper