Výsledky vyhľadávania - Parameter tuning and algorithm configuration

Upresniť hľadanie
  1. 1

    Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems Autor Tapia-Avitia, José M., Cruz-Duarte, Jorge M., Amaya, Ivan, Ortiz-Bayliss, José Carlos, Terashima-Marin, Hugo, Pillay, Nelishia

    ISSN: 2210-6502
    Vydavateľské údaje: Elsevier B.V 01.08.2024
    Vydané v Swarm and evolutionary computation (01.08.2024)
    “… Many approaches have designed algorithms that probe the combination of such heuristics, generating astonishing results compared to generic MHs…”
    Získať plný text
    Journal Article
  2. 2

    Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications Autor Perez-Espinosa, Guillermo, Cruz-Duarte, Jorge M., Amaya, Ivan, Ortiz-Bayliss, Jose C., Terashima-Marin, Hugo, Pillay, Nelishia

    Vydavateľské údaje: IEEE 30.06.2024
    “…Heat sinks are a prevalent and direct solution for addressing the Microelectronic Thermal Management Problem (MTMP), which is critical in today's electronic…”
    Získať plný text
    Konferenčný príspevok..
  3. 3

    Analysing differences between algorithm configurations through ablation Autor Fawcett, Chris, Hoos, Holger H.

    ISSN: 1381-1231, 1572-9397
    Vydavateľské údaje: New York Springer US 01.08.2016
    Vydané v Journal of heuristics (01.08.2016)
    “…Developers of high-performance algorithms for hard computational problems increasingly take advantage of automated parameter tuning and algorithm configuration tools, and consequently often create…”
    Získať plný text
    Journal Article
  4. 4

    Comparison of sampling methods for algorithm configuration problem: A case for tuning differential ant-stigmergy (DASA) algorithm parameters Autor Eryoldaş, Yasemin, Durmuşoğlu, Alptekin

    ISSN: 0360-8352, 1879-0550
    Vydavateľské údaje: Elsevier Ltd 01.06.2021
    Vydané v Computers & industrial engineering (01.06.2021)
    “… A good selection of the parameter values can increase their performance. In this study, we compared eight different sampling methods, used for tuning the five control parameters of the Differential Ant-Stigmergy Algorithm (DASA…”
    Získať plný text
    Journal Article
  5. 5

    A Novel Oppositional Chaotic Flower Pollination Optimization Algorithm for Automatic Tuning of Hadoop Configuration Parameters Autor Bellamkonda Sathyanarayanan, Vidhyasagar, Jeevarathinam, Raja Paul Perinbam, Marudhamuthu, Krishnamurthy

    ISSN: 2167-647X, 2167-647X
    Vydavateľské údaje: United States 01.06.2020
    Vydané v Big data (01.06.2020)
    “… Many applications utilize big data platforms, namely Spark, Hadoop, Amazon web services, and so on, since these platforms use several parameters for tuning that further enhance the operating performances…”
    Zistit podrobnosti o prístupe
    Journal Article
  6. 6

    DPDK-Based Optimization Approach for High Speed Storage I/O Autor ZHU Wenjun, XU Zhuang, QIN Jiajia, LI Peng

    ISSN: 1000-3428
    Vydavateľské údaje: Editorial Office of Computer Engineering 01.07.2021
    Vydané v Ji suan ji gong cheng (01.07.2021)
    “…In the Redis storage process,I/O is a key factor that influences storage performance.Inaccurate default parameter configuration or manual parameter configuration will restrict the performance of storage and increase…”
    Získať plný text
    Journal Article
  7. 7

    Dynamic instance sampling for multi-objective automatic algorithm configuration Autor Li, Yuchen, Wang, Handing

    ISSN: 2210-6502
    Vydavateľské údaje: Elsevier B.V 01.08.2025
    Vydané v Swarm and evolutionary computation (01.08.2025)
    “…Multi-objective automatic algorithm configuration alleviates the tedious parameter tuning for users by optimizing both the performance and efficiency of the target algorithm…”
    Získať plný text
    Journal Article
  8. 8

    A Survey of Automatic Parameter Tuning Methods for Metaheuristics Autor Huang, Changwu, Li, Yuanxiang, Yao, Xin

    ISSN: 1089-778X, 1941-0026
    Vydavateľské údaje: New York IEEE 01.04.2020
    “…Parameter tuning, that is, to find appropriate parameter settings (or configurations) of algorithms so that their performance is optimized, is an important task in the development and application of metaheuristics…”
    Získať plný text
    Journal Article
  9. 9

    Workload-Aware Performance Tuning for Multimodel Databases Based on Deep Reinforcement Learning Autor Sun, Jun, Ye, Feng, Nedjah, Nadia, Zhang, Ming, Xu, Dong

    ISSN: 0884-8173, 1098-111X
    Vydavateľské údaje: New York Hindawi 2023
    “… How to efficiently manage and tune the performance of multimodel databases is still a problem. Therefore, in this study, we present a configuration parameter tuning tool MMDTune+ for ArangoDB…”
    Získať plný text
    Journal Article
  10. 10

    Why Tuning the Control Parameters of Metaheuristic Algorithms Is So Important for Fair Comparison? Autor Kazikova, Anezka, Pluhacek, Michal, Senkerik, Roman

    ISSN: 1803-3814, 2571-3701
    Vydavateľské údaje: Brno University of Technology 01.12.2020
    Vydané v Mendel (Brno (Czech Republic)) (01.12.2020)
    “… The comparisons should be fair and unbiased. This paper points to the importance of proper initial parameter configurations of the compared algorithms…”
    Získať plný text
    Journal Article
  11. 11

    A Novel Configuration Tuning Method Based on Feature Selection for Hadoop MapReduce Autor Liu, Jun, Tang, Sule, Xu, Guangxia, Ma, Chuang, Lin, Mingwei

    ISSN: 2169-3536, 2169-3536
    Vydavateľské údaje: Piscataway IEEE 2020
    Vydané v IEEE access (2020)
    “… In this paper, a novel configuration parameter tuning method based on a feature selection algorithm is proposed, and it is composed of the feature selection objective function and feature selection process…”
    Získať plný text
    Journal Article
  12. 12

    Optimization of the Eclipse TPS beam configuration parameters for small field dosimetry using Monte Carlo simulations and experimental measurements Autor Younes, Tony, Chatrie, Frédéric, Zinutti, Marianne, Simon, Luc, Fares, Georges, Vieillevigne, Laure

    ISSN: 1120-1797, 1724-191X, 1724-191X
    Vydavateľské údaje: Elsevier Ltd 01.10.2023
    Vydané v Physica medica (01.10.2023)
    “…To evaluate the impact of tuning the beam configurations parameters on the Analytical Anisotropic Algorithm (AAA) and the Acuros XB (AXB…”
    Získať plný text
    Journal Article
  13. 13

    An automated method for solving Configuration of Distributed Messaging Systems: DMGA-PSO algorithm Autor Ma, Hanbo, Ma, Yaofei, li, Jingyao, Guo, Tianyu, Yuan, Haitao

    ISSN: 0957-4174
    Vydavateľské údaje: Elsevier Ltd 05.06.2025
    Vydané v Expert systems with applications (05.06.2025)
    “…As Distributed Messaging Systems (DMS) like Kafka become increasingly important for managing large-scale data streams, optimizing configuration parameters…”
    Získať plný text
    Journal Article
  14. 14

    Pitfalls and Best Practices in Algorithm Configuration Autor Eggensperger, Katharina, Lindauer, Marius, Hutter, Frank

    ISSN: 1076-9757, 1076-9757, 1943-5037
    Vydavateľské údaje: San Francisco AI Access Foundation 01.01.2019
    “…). Automated algorithm configuration methods have recently received much attention in the AI community since they replace tedious, irreproducible and error-prone manual parameter tuning and can lead…”
    Získať plný text
    Journal Article
  15. 15

    Unbalanced budget distribution for automatic algorithm configuration Autor Ghambari, Soheila, Rakhshani, Hojjat, Lepagnot, Julien, Jourdan, Laetitia, Idoumghar, Lhassane

    ISSN: 1432-7643, 1433-7479
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2022
    Vydané v Soft computing (Berlin, Germany) (01.02.2022)
    “…Optimization algorithms often have several critical setting parameters and the improvement of the empirical performance of these algorithms depends on tuning…”
    Získať plný text
    Journal Article
  16. 16

    Automated Dynamic Algorithm Configuration Autor Adriaensen, Steven, Biedenkapp, André, Shala, Gresa, Awad, Noor, Eimer, Theresa, Lindauer, Marius, Hutter, Frank

    ISSN: 1076-9757, 1076-9757, 1943-5037
    Vydavateľské údaje: San Francisco AI Access Foundation 01.01.2022
    “… While a variety of automated algorithm configuration methods have been proposed to relieve users from the tedious and error-prone task of manually tuning parameters, there is still a lot of untapped…”
    Získať plný text
    Journal Article
  17. 17

    Liquid metal microfluidic cooling system for high-efficiency thermal management via learning-based genetic algorithm Autor Wang, Yucheng, Bi, Antong, Chen, Kaiyu, Yu, Shenxin, Gao, Wanping, Zhang, Wenyi, Wu, Yuwan, Li, Zhiqiang, Wang, Shaoxi

    ISSN: 0952-1976
    Vydavateľské údaje: Elsevier Ltd 12.12.2025
    “… of optimizing thermal performance through algorithm-guided parameter tuning. To validate the proposed method, four distinct microchannel configurations were designed, fabricated, and experimentally tested…”
    Získať plný text
    Journal Article
  18. 18

    Automatic parameter tuning with a Bayesian case-based reasoning system. A case of study Autor Pavón, Reyes, Díaz, Fernando, Laza, Rosalía, Luzón, Victoria

    ISSN: 0957-4174
    Vydavateľské údaje: 01.03.2009
    Vydané v Expert systems with applications (01.03.2009)
    “… Users spend a lot of time tuning algorithms for their specific problem domain, and this time could be saved by an automatic approach for parameter tuning…”
    Získať plný text
    Journal Article
  19. 19

    Deep learning for effective Android malware detection using API call graph embeddings Autor Pektaş, Abdurrahman, Acarman, Tankut

    ISSN: 1432-7643, 1433-7479
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2020
    Vydané v Soft computing (Berlin, Germany) (01.01.2020)
    “… But identification of similarities in graphs and graph matching algorithms for classification is slow, complicated to be adopted to a new domain, and their results may be inaccurate…”
    Získať plný text
    Journal Article
  20. 20

    Continuous optimization algorithms for tuning real and integer parameters of swarm intelligence algorithms Autor Yuan, Zhi, Montes de Oca, Marco A., Birattari, Mauro, Stützle, Thomas

    ISSN: 1935-3812, 1935-3820
    Vydavateľské údaje: Boston Springer US 01.03.2012
    Vydané v Swarm intelligence (01.03.2012)
    “… In this article, we study the performance of a number of prominent continuous optimization algorithms for parameter tuning using various case studies from the swarm intelligence literature…”
    Získať plný text
    Journal Article