Výsledky vyhledávání - enhanced moth-flame optimisation algorithm

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    Mesh Router Nodes Placement for Wireless Mesh Networks Based on an Enhanced MothFlame Optimization Algorithm Autor Taleb, Sylia Mekhmoukh, Meraihi, Yassine, Mirjalili, Seyedali, Acheli, Dalila, Ramdane-Cherif, Amar, Gabis, Asma Benmessaoud

    ISSN: 1383-469X, 1572-8153
    Vydáno: New York Springer US 01.04.2023
    Vydáno v Mobile networks and applications (01.04.2023)
    “…This paper proposes an enhanced version of Moth Flame Optimization (MFO) algorithm, called Enhanced Chaotic…”
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    MFO-SFR: An Enhanced Moth-Flame Optimization Algorithm Using an Effective Stagnation Finding and Replacing Strategy Autor Nadimi-Shahraki, Mohammad H., Zamani, Hoda, Fatahi, Ali, Mirjalili, Seyedali

    ISSN: 2227-7390, 2227-7390
    Vydáno: Basel MDPI AG 01.02.2023
    Vydáno v Mathematics (Basel) (01.02.2023)
    “… To overcome these limitations, an enhanced moth-flame optimization algorithm named MFO-SFR was developed to solve global optimization problems…”
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    A multi-strategy enhanced moth-flame optimization algorithm for complex inverse kinematics problems in series robots Autor Liu, Jianlin, Huang, Haisong, Fan, Qingsong, Ma, Chi

    ISSN: 1386-7857, 1573-7543
    Vydáno: New York Springer US 01.10.2025
    Vydáno v Cluster computing (01.10.2025)
    “… it extremely challenging to develop a general analytical solution algorithm. To address this challenge, this paper introduces a multi-strategy enhanced moth-flame optimization algorithm, DMFO…”
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    An enhanced Moth-flame optimization algorithm for permutation-based problems Autor Helmi, Ahmed, Alenany, Ahmed

    ISSN: 1864-5909, 1864-5917
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2020
    Vydáno v Evolutionary intelligence (01.12.2020)
    “…Moth-flame optimizer (MFO) is one of the recently proposed metaheuristic optimization techniques which has been successfully used in wide range of applications…”
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    Enhanced a hybrid moth-flame optimization algorithm using new selection schemes Autor Shehab, Mohammad, Alshawabkah, Hanadi, Abualigah, Laith, AL-Madi, Nagham

    ISSN: 0177-0667, 1435-5663
    Vydáno: London Springer London 01.10.2021
    Vydáno v Engineering with computers (01.10.2021)
    “…This paper presents two levels of enhancing the basic Moth flame optimization (MFO) algorithm. The first step is hybridizing MFO and the local-based algorithm, hill climbing…”
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    Optimal Allocation of IaaS Cloud Resources through Enhanced Moth Flame Optimization (EMFO) Algorithm Autor Thiruvenkadam, Srinivasan, Kim, Hyung-Jin, Ra, In-Ho

    ISSN: 2079-9292, 2079-9292
    Vydáno: Basel MDPI AG 01.04.2022
    Vydáno v Electronics (Basel) (01.04.2022)
    “… difficult tasks for CPs to overcome. This paper proposes the Enhanced Moth Flame Optimization (EMFO) algorithm to provide a unique strategy for assigning virtual machines…”
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    Enhanced Binary Moth Flame Optimization as a Feature Selection Algorithm to Predict Software Fault Prediction Autor Tumar, Iyad, Hassouneh, Yousef, Turabieh, Hamza, Thaher, Thaer

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2020
    Vydáno v IEEE access (2020)
    “… In this research, we proposed an Enhanced Binary Moth Flame Optimization (EBMFO) with Adaptive synthetic sampling (ADASYN…”
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    Optimal economic–emission power scheduling of RERs in MGs with uncertainty Autor Elsakaan, Asmaa A, El-Sehiemy, Ragab A, Kaddah, Sahar S, Elsaid, Mohammed I

    ISSN: 1751-8687, 1751-8695
    Vydáno: The Institution of Engineering and Technology 01.01.2020
    “… (RERs) in isolated and grid-connected MGs. The EEDP is formulated as a non-linear constrained multi-objective optimisation problem…”
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    An enhanced moth-flame optimizer for solving non-smooth economic dispatch problems with emissions Autor Elsakaan, Asmaa A., El-Sehiemy, Ragab A., Kaddah, Sahar S., Elsaid, Mohammed I.

    ISSN: 0360-5442, 1873-6785
    Vydáno: Oxford Elsevier Ltd 15.08.2018
    Vydáno v Energy (Oxford) (15.08.2018)
    “…This paper proposes an Enhanced Moth-Flame Optimization (EMFO) algorithm for solving the non-convex economic dispatch (ED…”
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    Multi-kernel support vector regression with improved moth-flame optimization algorithm for software effort estimation Autor Li, Jing, Sun, Shengxiang, Xie, Li, Zhu, Chen, He, Dubo

    ISSN: 2045-2322, 2045-2322
    Vydáno: London Nature Publishing Group UK 23.07.2024
    Vydáno v Scientific reports (23.07.2024)
    “…In this paper, a novel Moth-Flame Optimization (MFO) algorithm, namely MFO algorithm enhanced by Multiple Improvement Strategies (MISMFO…”
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    An improved moth-flame optimization algorithm with periodic mutation and Gaussian mutation for safety-enhanced UAV path planning Autor Zhao, Xiaodong, Hu, Zhiqiang, Li, Xiaoqian, Zhang, Xianliang

    ISSN: 1934-1768
    Vydáno: Technical Committee on Control Theory, Chinese Association of Automation 28.07.2024
    Vydáno v Chinese Control Conference (28.07.2024)
    “…To handle the path planning problem of unmanned aerial vehicles (UAV) meeting numerous obstacles in complicated environments, an improved moth-flame optimization(MFO…”
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    Evaluation of Fuzzy-Based Artificial Neural Network for Power Quality Enhancement Autor R, Sam Stanley, S, Pavalarajan

    ISSN: 1532-5008, 1532-5016
    Vydáno: Philadelphia Taylor & Francis 20.01.2024
    Vydáno v Electric power components and systems (20.01.2024)
    “…The rapid integration of renewable and decentralized energy sources is transforming the operation of power networks, leading to challenges in efficient…”
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    Improved moth flame optimization algorithm based on opposition-based learning and Lévy flight distribution for parameter estimation of solar module Autor Sharma, Abhishek, Sharma, Abhinav, Averbukh, Moshe, Rajput, Shailendra, Jately, Vibhu, Choudhury, Sushabhan, Azzopardi, Brian

    ISSN: 2352-4847, 2352-4847
    Vydáno: Elsevier Ltd 01.11.2022
    Vydáno v Energy reports (01.11.2022)
    “…An enhanced version of the moth flame optimization algorithm is proposed in this paper for rapid and precise parameter extraction of solar cells…”
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    Dynamic economic emission dispatch considering renewable energy generation: A novel multi-objective optimization approach Autor Liu, Zhi-Feng, Li, Ling-Ling, Liu, Yu-Wei, Liu, Jia-Qi, Li, Heng-Yi, Shen, Qiang

    ISSN: 0360-5442, 1873-6785
    Vydáno: Oxford Elsevier Ltd 15.11.2021
    Vydáno v Energy (Oxford) (15.11.2021)
    “…) considering renewable energy generation and propose a novel solving approach based on enhanced moth-flame optimization algorithm…”
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    Application of hybrid multi-objective moth flame optimization technique for optimal performance of hybrid micro-grid system Autor Bandopadhyay, Joy, Roy, Provas Kumar

    ISSN: 1568-4946
    Vydáno: Elsevier B.V 01.10.2020
    Vydáno v Applied soft computing (01.10.2020)
    “…) technique and levy flight method are integrated, with the moth flame optimization (MFO) algorithm Moreover a new enhanced differential evolution algorithm (EDE…”
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    Enhanced Reversible Image Watermarking using Improved Moth Flame Optimization Algorithm Autor Pradeep Kumar, S, Almoussawi, Zainab Abed, Sunil, G, Ananda Babu, J, Almusawi, Muntather

    Vydáno: IEEE 24.11.2023
    “… and relevance threshold for selection of entropy is done through Particle Swarm Optimization (PSO) algorithm. A method in Integer Wavelet Transform…”
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    Address wind farm layout problems by an adaptive Moth-flame Optimization Algorithm Autor Yu, Xiaobing, Zhang, Wen

    ISSN: 1568-4946
    Vydáno: Elsevier B.V 01.12.2024
    Vydáno v Applied soft computing (01.12.2024)
    “… To minimize the wake effect, optimizing the turbines layout in wind farms is necessary. Therefore, an adaptive Moth-Flame Optimization algorithm with enhanced Exploration and Exploitation capabilities (MFOEE) is proposed…”
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    An enhanced moth flame optimization Autor Kaur, Komalpreet, Singh, Urvinder, Salgotra, Rohit

    ISSN: 0941-0643, 1433-3058
    Vydáno: London Springer London 01.04.2020
    Vydáno v Neural computing & applications (01.04.2020)
    “…Moth flame optimization (MFO) is a recent nature-inspired algorithm, motivated from the transverse orientation of moths in nature…”
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