Search Results - comparison of meta-heuristic algorithm

Refine Results
  1. 1

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

    ISSN: 2757-5195, 2757-5195
    Published: 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…”
    Get full text
    Journal Article
  2. 2

    Comparison of meta-heuristic algorithms for fuzzy modelling of COVID-19 illness’ severity classification by 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
    Published: 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…”
    Get full text
    Journal Article
  3. 3

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

    ISSN: 2473-3105
    Published: 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…”
    Get full text
    Conference Proceeding
  4. 4

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

    ISSN: 1757-8981, 1757-899X
    Published: 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…”
    Get full text
    Journal Article
  5. 5

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

    ISSN: 0305-0548, 1873-765X, 0305-0548
    Published: New York Elsevier Ltd 01.01.2018
    Published 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…”
    Get full text
    Journal Article
  6. 6
  7. 7

    Comparison of Meta- Heuristic Algorithms in the Optimal Operation of Multi – Reservoir (A Case Study: Golestan and Voshmgir Dams) by Mohammadrezapour, O., Zeynali, M. J.

    ISSN: 2476-3594, 2476-5554, 2476-5554
    Published: Isfahan University of Technology 01.06.2018
    Published 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…”
    Get full text
    Journal Article
  8. 8

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

    ISSN: 1931-4973, 1931-4981
    Published: 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…”
    Get full text
    Journal Article
  9. 9

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

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

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

    Published: 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…”
    Get full text
    Conference Proceeding
  11. 11

    A Novel Approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics by Eftimov, Tome, Korošec, Peter, Koroušić Seljak, Barbara

    ISSN: 0020-0255, 1872-6291
    Published: Elsevier Inc 01.11.2017
    Published 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…”
    Get full text
    Journal Article
  12. 12

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

    Published: 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…”
    Get full text
    Conference Proceeding
  13. 13

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

    Published: 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…”
    Get full text
    Conference Proceeding
  14. 14
  15. 15

    Comparison of Meta-Heuristic Optimization Algorithms for Global Maximum Power Point Tracking of Partially Shaded Solar Photovoltaic Systems by Nagadurga, Timmidi, Devarapalli, Ramesh, Knypiński, Łukasz

    ISSN: 1999-4893, 1999-4893
    Published: Basel MDPI AG 01.08.2023
    Published 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…”
    Get full text
    Journal Article
  16. 16

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

    ISSN: 1678-5878, 1806-3691
    Published: 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…”
    Get full text
    Journal Article
  17. 17

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

    Published: IEEE 05.06.2021
    “… The aim of this paper is comparing metaheuristic algorithms of optimum load flow utilizing Particle Swarm Optimization (PSO…”
    Get full text
    Conference Proceeding
  18. 18

    Comparison of the Meta-Heuristic Algorithms for Maximum Likelihood Estimation of the Exponentially Modified Logistic Distribution by Kasap, Pelin, Faouri, Adi Omaia

    ISSN: 2073-8994, 2073-8994
    Published: Basel MDPI AG 01.03.2024
    Published 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…”
    Get full text
    Journal Article
  19. 19

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

    ISSN: 1364-0321, 1879-0690
    Published: Elsevier Ltd 01.07.2017
    Published 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…”
    Get full text
    Journal Article
  20. 20

    Comparison of nine meta-heuristic algorithms for optimal design of truss structures with frequency constraints by Kaveh, A., Zolghadr, A.

    ISSN: 0965-9978
    Published: Elsevier Ltd 01.10.2014
    Published 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…”
    Get full text
    Journal Article