Suchergebnisse - comparison of meta-heuristic algorithm

  1. 1

    Multi-Focus Image Fusion Using Energy Valley Optimization Algorithm von Akbulut, Harun

    ISSN: 2757-5195, 2757-5195
    Veröffentlicht: Çanakkale Onsekiz Mart University 30.09.2024
    “… These methods are called multi-focus image fusion methods. This study proposes a block-based multi-focus image fusion method using the Energy Valley Optimization Algorithm (EVOA …”
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    Journal Article
  2. 2

    Comparison of meta-heuristic algorithms for fuzzy modelling of COVID-19 illness’ severity classification von Mohamad Aseri, Nur Azieta, Ismail, Mohd Arfian, Fakharudin, Abdul Sahli, Ibrahim, Ashraf Osman, Kasim, Shahreen, Zakaria, Noor Hidayah, Sutikno, Tole

    ISSN: 2089-4872, 2252-8938, 2089-4872
    Veröffentlicht: Yogyakarta IAES Institute of Advanced Engineering and Science 01.03.2022
    “… The world health organization (WHO) proclaimed the COVID-19, commonly known as the coronavirus disease 2019, was a pandemic in March 2020. When people are in …”
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    Journal Article
  3. 3

    Comparison of Meta-Heuristic Algorithms for Task Scheduling in Distributed Stream Processing von Kim, Dohan, Wu, Aming, Kwon, Young-Woo

    ISSN: 2473-3105
    Veröffentlicht: IEEE 01.11.2022
    “… the necessary quality of services (QoS). Modern DSPS typically use heuristic or meta-heuristic algorithms to find near-optimal solutions to meet QoS requirements …”
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  4. 4

    Wind Power Optimization: A Comparison of Meta-Heuristic Algorithms von Shetty, Rashmi P., Sathyabhama, A., Srinivasa Pai, P

    ISSN: 1757-8981, 1757-899X
    Veröffentlicht: Bristol IOP Publishing 01.06.2018
    “… In this paper an effort has been made to compare performances of three different optimization algorithms namely Particle swarm optimization (PSO …”
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  5. 5

    Planning of complex supply chains: A performance comparison of three meta-heuristic algorithms von Fahimnia, Behnam, Davarzani, Hoda, Eshragh, Ali

    ISSN: 0305-0548, 1873-765X, 0305-0548
    Veröffentlicht: New York Elsevier Ltd 01.01.2018
    Veröffentlicht in Computers & operations research (01.01.2018)
    “… This paper aims to compare and analyze the performance of three meta-heuristic algorithms in solving a nonlinear green supply chain planning problem …”
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    Comparison of Meta- Heuristic Algorithms in the Optimal Operation of Multi – Reservoir (A Case Study: Golestan and Voshmgir Dams) von Mohammadrezapour, O., Zeynali, M. J.

    ISSN: 2476-3594, 2476-5554, 2476-5554
    Veröffentlicht: Isfahan University of Technology 01.06.2018
    Veröffentlicht in Ulūm-i āb va khāk (01.06.2018)
    “… Due to the complexities of the typical optimization methods, employing an evolutionary algorithm is regarded here …”
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  8. 8

    Performance Comparison of Population‐Based MetaHeuristic Algorithms in Affine Template Matching von Sato, Junya, Yamada, Takayoshi, Ito, Kazuaki, Akashi, Takuya

    ISSN: 1931-4973, 1931-4981
    Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 01.01.2021
    “… In this study, population‐based metaheuristic algorithms—artificial bee colony, differential evolution, particle swarm optimization, and real …”
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    Journal Article
  9. 9

    A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem von Ahmed, Ali Najah, Van Lam, To, Hung, Nguyen Duy, Van Thieu, Nguyen, Kisi, Ozgur, El-Shafie, Ahmed

    ISSN: 1568-4946, 1872-9681
    Veröffentlicht: Elsevier B.V 01.07.2021
    Veröffentlicht in Applied soft computing (01.07.2021)
    “… to hybridize the recently developed physics-inspired metaheuristic algorithms (MHAs) such as Equilibrium Optimization (EO …”
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  10. 10

    Comparison of Two Meta -Heuristic Algorithms for Path Planning in Robotics von Kumar, Rajeev, Singh, Laxman, Tiwari, Rajdev

    Veröffentlicht: IEEE 01.02.2020
    “… The Grey wolf optimization (GWO) is a metaheuristic algorithm that is widely used for optimization of different parameters in the discrete search space to solve the various problems …”
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    A Novel Approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics von Eftimov, Tome, Korošec, Peter, Koroušić Seljak, Barbara

    ISSN: 0020-0255, 1872-6291
    Veröffentlicht: Elsevier Inc 01.11.2017
    Veröffentlicht in Information sciences (01.11.2017)
    “… In this paper a novel approach for making a statistical comparison of meta-heuristic stochastic optimization algorithms over multiple single-objective problems is introduced, where a new ranking …”
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    Journal Article
  12. 12

    More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems von Del Ser, Javier, Osaba, Eneko, Martinez, Aritz D., Bilbao, Miren Nekane, Poyatos, Javier, Molina, Daniel, Herrera, Francisco

    Veröffentlicht: IEEE 05.12.2021
    “… with unprecedented scales in terms of problems and algorithms are reported and discussed. Specifically, informed conclusions are held in what refers to the claimed superior …”
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  13. 13

    Comparison of Meta-Heuristic Algorithms for Solving Dominating Set Problems in WAMS Design von Shahraeini, Mohammad, Kohsari, Gholamreza, Javidi, M. Hossein

    Veröffentlicht: IEEE 28.12.2022
    “… Wide area measurement system (WAMS) integrates new digital metering devices (e.g. PMUs), and modern and high speed communication systems to measure the …”
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    Comparison of Meta-Heuristic Optimization Algorithms for Global Maximum Power Point Tracking of Partially Shaded Solar Photovoltaic Systems von Nagadurga, Timmidi, Devarapalli, Ramesh, Knypiński, Łukasz

    ISSN: 1999-4893, 1999-4893
    Veröffentlicht: Basel MDPI AG 01.08.2023
    Veröffentlicht in Algorithms (01.08.2023)
    “… At this point, conventional MPPT algorithms fail to operate effectively. This research work mainly focuses on the exploration of performance optimization and harnessing …”
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  16. 16

    A performance comparison of eight meta-heuristic algorithms for the optimal design of large-scale truss structures von Bodalal, Rafiq

    ISSN: 1678-5878, 1806-3691
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2025
    “… In recent years, meta-heuristic (MH) algorithms have emerged as powerful optimization tools, enabling efficient solutions to complex truss optimization tasks …”
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  17. 17

    Performance Comparison of Meta-Heuristic Algorithms PSO and ACO for Optimum Power Flow in Power Systems von Jawad, Raheel, Kadhum, Ali A., Moneer, Malak

    Veröffentlicht: IEEE 05.06.2021
    “… The aim of this paper is comparing metaheuristic algorithms of optimum load flow utilizing Particle Swarm Optimization (PSO …”
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    Tagungsbericht
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    Comparison of the Meta-Heuristic Algorithms for Maximum Likelihood Estimation of the Exponentially Modified Logistic Distribution von Kasap, Pelin, Faouri, Adi Omaia

    ISSN: 2073-8994, 2073-8994
    Veröffentlicht: Basel MDPI AG 01.03.2024
    Veröffentlicht in Symmetry (Basel) (01.03.2024)
    “… Five meta-heuristic algorithms, including the genetic algorithm, particle swarm optimization algorithm, grey wolf optimization algorithm, whale optimization algorithm, and sine cosine algorithm …”
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  19. 19

    A comparison of different global MPPT techniques based on meta-heuristic algorithms for photovoltaic system subjected to partial shading conditions von Rezk, Hegazy, Fathy, Ahmed, Abdelaziz, Almoataz Y.

    ISSN: 1364-0321, 1879-0690
    Veröffentlicht: Elsevier Ltd 01.07.2017
    Veröffentlicht in Renewable & sustainable energy reviews (01.07.2017)
    “… The classical maximum power point tracking (MPPT) algorithms can’t reach to global MPP. Accordingly, this work aims to study the behavior performance of two optimization techniques …”
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    Comparison of nine meta-heuristic algorithms for optimal design of truss structures with frequency constraints von Kaveh, A., Zolghadr, A.

    ISSN: 0965-9978
    Veröffentlicht: Elsevier Ltd 01.10.2014
    Veröffentlicht in Advances in engineering software (1992) (01.10.2014)
    “… •Performance comparison is made for nine multi-agent meta-heuristic algorithms.•For inspecting the exploration/exploitation characteristics, a diversity index history is defined …”
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