Suchergebnisse - "Moth–flame optimization algorithm"

  1. 1

    Mothflame optimization algorithm: variants and applications von Shehab, Mohammad, Abualigah, Laith, Al Hamad, Husam, Alabool, Hamzeh, Alshinwan, Mohammad, Khasawneh, Ahmad M.

    ISSN: 0941-0643, 1433-3058
    Veröffentlicht: London Springer London 01.07.2020
    Veröffentlicht in Neural computing & applications (01.07.2020)
    “… This paper thoroughly presents a comprehensive review of the so-called moth–flame optimization (MFO) and analyzes its main characteristics. MFO is considered …”
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  2. 2

    Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm von Mirjalili, Seyedali

    ISSN: 0950-7051, 1872-7409
    Veröffentlicht: Elsevier B.V 01.11.2015
    Veröffentlicht in Knowledge-based systems (01.11.2015)
    “… In this paper a novel nature-inspired optimization paradigm is proposed called Moth-Flame Optimization (MFO) algorithm. The main inspiration of this optimizer …”
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  3. 3

    Data Clustering Using Moth-Flame Optimization Algorithm von Singh, Tribhuvan, Saxena, Nitin, Khurana, Manju, Singh, Dilbag, Abdalla, Mohamed, Alshazly, Hammam

    ISSN: 1424-8220, 1424-8220
    Veröffentlicht: Basel MDPI AG 14.06.2021
    Veröffentlicht in Sensors (Basel, Switzerland) (14.06.2021)
    “… A k-means algorithm is a method for clustering that has already gained a wide range of acceptability. However, its performance extremely depends on the opening …”
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  4. 4

    An improved moth-flame optimization algorithm for support vector machine prediction of photovoltaic power generation von Lin, Guo-Qian, Li, Ling-Ling, Tseng, Ming-Lang, Liu, Han-Min, Yuan, Dong-Dong, Tan, Raymond R.

    ISSN: 0959-6526, 1879-1786
    Veröffentlicht: Elsevier Ltd 20.04.2020
    Veröffentlicht in Journal of cleaner production (20.04.2020)
    “… are introduced to improve the moth-flame optimization algorithm for support vector machine prediction of photovoltaic power generation …”
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  5. 5

    An Improved Moth-Flame Optimization algorithm with hybrid search phase von Pelusi, Danilo, Mascella, Raffaele, Tallini, Luca, Nayak, Janmenjoy, Naik, Bighnaraj, Deng, Yong

    ISSN: 0950-7051, 1872-7409
    Veröffentlicht: Amsterdam Elsevier B.V 05.03.2020
    Veröffentlicht in Knowledge-based systems (05.03.2020)
    “… In order to solve real-life problems, several metaheuristic optimization algorithms have been developed. The Moth-Flame Optimization (MFO) algorithm is a …”
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  6. 6

    A covariance-based Mothflame optimization algorithm with Cauchy mutation for solving numerical optimization problems von Zhao, Xiaodong, Fang, Yiming, Liu, Le, Xu, Miao, Li, Qiang

    ISSN: 1568-4946, 1872-9681
    Veröffentlicht: Elsevier B.V 01.04.2022
    Veröffentlicht in Applied soft computing (01.04.2022)
    “… –Flame Optimization algorithm with Cauchy mutation (CCMFO) is proposed in this paper. In the CCMFO, the concept of covariance is used to transform the individuals …”
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  7. 7

    An improved mothflame optimization algorithm for solving optimal power flow problem von Taher, Mahrous A., Kamel, Salah, Jurado, Francisco, Ebeed, Mohamed

    ISSN: 2050-7038, 2050-7038
    Veröffentlicht: Hoboken John Wiley & Sons, Inc 01.03.2019
    “… Summary This paper proposes an improved moth flame optimization (IMFO) algorithm to effectively solve the optimal power flow (OPF) problems. The concept of …”
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  8. 8

    Multi-swarm improved mothflame optimization algorithm with chaotic grouping and Gaussian mutation for solving engineering optimization problems von Zhao, Xiaodong, Fang, Yiming, Ma, Shuidong, Liu, Zhendong

    ISSN: 0957-4174
    Veröffentlicht: Elsevier Ltd 15.10.2022
    Veröffentlicht in Expert systems with applications (15.10.2022)
    “… Moth–Flame Optimization (MFO) is widely utilized to solve optimization problems in different fields since it has a simple structure and easy implementation …”
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  9. 9

    Migration-Based Moth-Flame Optimization Algorithm von Nadimi-Shahraki, Mohammad H., Fatahi, Ali, Zamani, Hoda, Mirjalili, Seyedali, Abualigah, Laith, Abd Elaziz, Mohamed

    ISSN: 2227-9717, 2227-9717
    Veröffentlicht: Basel MDPI AG 18.12.2021
    Veröffentlicht in Processes (18.12.2021)
    “… Moth–flame optimization (MFO) is a prominent swarm intelligence algorithm that demonstrates sufficient efficiency in tackling various optimization tasks …”
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  10. 10

    An improved moth flame optimization algorithm based on modified dynamic opposite learning strategy von Sahoo, Saroj Kumar, Saha, Apu Kumar, Nama, Sukanta, Masdari, Mohammad

    ISSN: 0269-2821, 1573-7462
    Veröffentlicht: Dordrecht Springer Netherlands 01.04.2023
    Veröffentlicht in The Artificial intelligence review (01.04.2023)
    “… Moth flame optimization (MFO) algorithm is a relatively new nature-inspired optimization algorithm based on the moth’s movement towards the moon. Premature …”
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  11. 11

    An efficient task scheduling approach using mothflame optimization algorithm for cyber‐physical system applications in fog computing von Ghobaei‐Arani, Mostafa, Souri, Alireza, Safara, Fatemeh, Norouzi, Monire

    ISSN: 2161-3915, 2161-3915
    Veröffentlicht: 01.02.2020
    “… With the rapid development of in modern technologies has led to a novel generation of cyberspace equipment and secure analysis methods such as cyber‐physical …”
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  12. 12

    A Hybrid Moth Flame Optimization Algorithm for Global Optimization von Sahoo, Saroj Kumar, Saha, Apu Kumar

    ISSN: 1672-6529, 2543-2141
    Veröffentlicht: Singapore Springer Nature Singapore 01.09.2022
    Veröffentlicht in Journal of bionics engineering (01.09.2022)
    “… The Moth Flame Optimization (MFO) algorithm shows decent performance results compared to other meta-heuristic algorithms for tackling non-linear constrained …”
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  13. 13

    Moth-flame optimization algorithm based on diversity and mutation strategy von Ma, Lei, Wang, Chao, Xie, Neng-gang, Shi, Miao, Ye, Ye, Wang, Lu

    ISSN: 0924-669X, 1573-7497
    Veröffentlicht: New York Springer US 01.08.2021
    Veröffentlicht in Applied intelligence (Dordrecht, Netherlands) (01.08.2021)
    “… In this work, an improved moth-flame optimization algorithm is proposed to alleviate the problems of premature convergence and convergence to local minima …”
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  14. 14

    Parameters extraction of the three diode model for the multi-crystalline solar cell/module using Moth-Flame Optimization Algorithm von Allam, Dalia, Yousri, D.A., Eteiba, M.B.

    ISSN: 0196-8904, 1879-2227
    Veröffentlicht: Elsevier Ltd 01.09.2016
    Veröffentlicht in Energy conversion and management (01.09.2016)
    “… •More detailed models are proposed to emulate the multi-crystalline solar cell/module.•Moth-Flame Optimizer (MFO) is proposed for the parameter extraction …”
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  15. 15

    An Improved Moth-Flame Optimization Algorithm for Engineering Problems von Li, Yu, Zhu, Xinya, Liu, Jingsen

    ISSN: 2073-8994, 2073-8994
    Veröffentlicht: Basel MDPI AG 01.08.2020
    Veröffentlicht in Symmetry (Basel) (01.08.2020)
    “… In this paper, an improved moth-flame optimization algorithm (IMFO) is presented to solve engineering problems …”
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  16. 16

    A mothflame optimization algorithm for web service composition in cloud computing: Simulation and verification von Ghobaei‐Arani, Mostafa, Rahmanian, Ali.A, Souri, Alireza, Rahmani, Amir Masoud

    ISSN: 0038-0644, 1097-024X
    Veröffentlicht: Bognor Regis Wiley Subscription Services, Inc 01.10.2018
    Veröffentlicht in Software, practice & experience (01.10.2018)
    “… Summary In recent years, users are becoming increasingly accustomed to using the Internet to gain software resources in the form of web services provided by …”
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  17. 17

    Improved Multi-objective Moth-flame Optimization Algorithm based on R-domination for cascade reservoirs operation von Zhang, Zhendong, Qin, Hui, Yao, Liqiang, Liu, Yongqi, Jiang, Zhiqiang, Feng, Zhongkai, Ouyang, Shuo

    ISSN: 0022-1694, 1879-2707
    Veröffentlicht: Elsevier B.V 01.02.2020
    Veröffentlicht in Journal of hydrology (Amsterdam) (01.02.2020)
    “… •A multi-objective model considering power generation, ecology and navigation is established.•A novel multi-objective evolutionary algorithm is proposed to …”
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  18. 18

    Emulous mechanism based multi-objective mothflame optimization algorithm von Sapre, Saunhita, S., Mini

    ISSN: 0743-7315, 1096-0848
    Veröffentlicht: Elsevier Inc 01.04.2021
    Veröffentlicht in Journal of parallel and distributed computing (01.04.2021)
    “… In recent years, there has been growing interest in using metaheuristic algorithms to solve various complex engineering optimization problems. Most of the …”
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  19. 19

    Improved off‐grid wind/photovoltaic/hybrid energy storage system based on new framework of MothFlame optimization algorithm von Abbassi, Abdelkader, Mehrez, Rached Ben, Abbassi, Rabeh, Saidi, Salem, Albdran, Saleh, Jemli, Mohamed

    ISSN: 0363-907X, 1099-114X
    Veröffentlicht: Chichester, UK John Wiley & Sons, Inc 01.04.2022
    Veröffentlicht in International journal of energy research (01.04.2022)
    “… Summary This paper suggests a new sizing optimization method of an off‐grid renewable energy system. To perform an accurate analysis of the distribution of the …”
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  20. 20

    An improved moth flame optimization algorithm based on rough sets for tomato diseases detection von Hassanien, Aboul Ella, Gaber, Tarek, Mokhtar, Usama, Hefny, Hesham

    ISSN: 0168-1699, 1872-7107
    Veröffentlicht: Amsterdam Elsevier B.V 15.04.2017
    Veröffentlicht in Computers and electronics in agriculture (15.04.2017)
    “… •Feature selection algorithm using the integration of moths-flame optimization and rough set was introduced.•Automatic tomato disease detection approach based …”
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