Suchergebnisse - modified multi-objective articles swarm optimization algorithm*

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  1. 1

    A modified competitive swarm optimizer guided by space sampling for large-scale multi-objective optimization von Gao, Xiaoxin, He, Fazhi, Wang, Feng, Wang, Xiaoting

    ISSN: 2210-6502
    Veröffentlicht: Elsevier B.V 01.04.2024
    Veröffentlicht in Swarm and evolutionary computation (01.04.2024)
    “… To this end, this article proposes a modified competitive swarm optimizer guided by space sampling for large-scale multi-objective optimization (LSMCSO-SS …”
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  2. 2

    A Modified Multi-objective Particle Swarm Optimizer-Based Lévy Flight: An Approach Toward Intrusion Detection in Internet of Things von Habib, Maria, Aljarah, Ibrahim, Faris, Hossam

    ISSN: 2193-567X, 1319-8025, 2191-4281
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2020
    Veröffentlicht in Arabian journal for science and engineering (2011) (01.08.2020)
    “… The emerging of the Internet of things (IoT), and more, the advent of the Internet of everything have revolutionized the computer networks industry. The high …”
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  3. 3

    Multi-objective Gaussian particle swarm algorithm optimization based on niche sorting for actuator design von Liang, Huimin, Zhang, Kun, You, Jiaxin, Yu, Hao

    ISSN: 1687-8132, 1687-8140
    Veröffentlicht: London, England SAGE Publications 01.12.2015
    Veröffentlicht in Advances in mechanical engineering (01.12.2015)
    “… This article presents a modified multi-objective particle swarm optimization algorithm based on sorting method and employs it to the product design of the actuator …”
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  4. 4

    Multi-objective load dispatch for microgrid with electric vehicles using modified gravitational search and particle swarm optimization algorithm von Zhang, Xizheng, Wang, Zeyu, Lu, Zhangyu

    ISSN: 0306-2619, 1872-9118
    Veröffentlicht: Elsevier Ltd 15.01.2022
    Veröffentlicht in Applied energy (15.01.2022)
    “… •Modified gravitational search algorithm and particle swarm optimization algorithm to solve load dispatch …”
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  5. 5

    Global path planning and multi-objective path control for unmanned surface vehicle based on modified particle swarm optimization (PSO) algorithm von Guo, Xinghai, Ji, Mingjun, Zhao, Ziwei, Wen, Dusu, Zhang, Weidan

    ISSN: 0029-8018, 1873-5258
    Veröffentlicht: Elsevier Ltd 15.11.2020
    Veröffentlicht in Ocean engineering (15.11.2020)
    “… In the second stage, a nonlinear multi-objective optimization model is formulated for the path control between two task locations …”
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  6. 6

    Hybrid modified particle swarm optimization with genetic algorithm (GA) based workflow scheduling in cloud-fog environment for multi-objective optimization von Singh, Gyan, Chaturvedi, Amit K.

    ISSN: 1386-7857, 1573-7543
    Veröffentlicht: New York Springer US 01.04.2024
    Veröffentlicht in Cluster computing (01.04.2024)
    “… By balancing the burden of dependent activities, the Hybrid GA (Genetic Algorithm)-modified PSO approach …”
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  7. 7

    A particle swarm optimization algorithm based on modified crowding distance for multimodal multi-objective problems von Feng, Da, Li, Yan, Liu, Jianchang, Liu, Yuanchao

    ISSN: 1568-4946
    Veröffentlicht: Elsevier B.V 01.02.2024
    Veröffentlicht in Applied soft computing (01.02.2024)
    “… To address this challenge, this study proposes a particle swarm optimization algorithm based on modified crowding distance (MOPSO_MCD …”
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  8. 8

    Design optimization of moderately thick hexagonal honeycomb sandwich plate with modified multi-objective particle swarm optimization by genetic algorithm (MOPSOGA) von Namvar, A.R., Vosoughi, A.R.

    ISSN: 0263-8223, 1879-1085
    Veröffentlicht: Elsevier Ltd 15.11.2020
    Veröffentlicht in Composite structures (15.11.2020)
    “… Design optimization of moderately thick hexagonal honeycomb sandwich plate has been investigated via employing an improved multi-objective particle swarm optimization with genetic algorithm (MOPSOGA …”
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  9. 9

    A multi-objective particle swarm optimization algorithm based on dynamic boundary search for constrained optimization von Mohd Zain, Mohamad Zihin bin, Kanesan, Jeevan, Chuah, Joon Huang, Dhanapal, Saroja, Kendall, Graham

    ISSN: 1568-4946, 1872-9681
    Veröffentlicht: Elsevier B.V 01.09.2018
    Veröffentlicht in Applied soft computing (01.09.2018)
    “… Due to increased search complexity in multi-objective optimization, premature convergence becomes a problem …”
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  10. 10

    Dynamic switched crowding-based multi-objective particle swarm optimization algorithm for solving multi-objective AC-DC optimal power flow problem von Bakır, Hüseyin, Kahraman, Hamdi Tolga, Yılmaz, Samet, Duman, Serhat, Guvenc, Ugur

    ISSN: 1568-4946
    Veröffentlicht: Elsevier B.V 01.11.2024
    Veröffentlicht in Applied soft computing (01.11.2024)
    “… To overcome these challenges, twelve different versions of the dynamic switched crowding-based multi-objective particle swarm optimization (DSC-MOPSO …”
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  11. 11

    A Modified Particle Swarm Algorithm for the Multi-Objective Optimization of Wind/Photovoltaic/Diesel/Storage Microgrids von Wu, Xueyang, Shan, Yinghao, Fan, Kexin

    ISSN: 2071-1050, 2071-1050
    Veröffentlicht: Basel MDPI AG 01.01.2024
    Veröffentlicht in Sustainability (01.01.2024)
    “… algorithm, which is more advantageous in multi-objective optimization. Compared to the traditional particle swarm algorithm, the modified particle swarm …”
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  12. 12

    Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm von Li, Linchao, Qin, Lingqiao, Qu, Xu, Zhang, Jian, Wang, Yonggang, Ran, Bin

    ISSN: 0950-7051, 1872-7409
    Veröffentlicht: Amsterdam Elsevier B.V 15.05.2019
    Veröffentlicht in Knowledge-based systems (15.05.2019)
    “… To achieve traffic flow forecasting for the next day, an advanced multi-objective particle swarm optimization algorithm is applied to optimize some parameters in deep belief networks …”
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  13. 13

    Multi-objective path planning of an autonomous mobile robot using hybrid PSO-MFB optimization algorithm von Ajeil, Fatin H., Ibraheem, Ibraheem Kasim, Sahib, Mouayad A., Humaidi, Amjad J.

    ISSN: 1568-4946, 1872-9681
    Veröffentlicht: Elsevier B.V 01.04.2020
    Veröffentlicht in Applied soft computing (01.04.2020)
    “… The proposed algorithm consists of three modules. The first module forms an optimized path by conducting a hybridized Particle Swarm Optimization-Modified Frequency Bat (PSO-MFB …”
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  14. 14

    Multi-objective particle swarm optimization algorithm based on objective space division for the unequal-area facility layout problem von Liu, Jingfa, Zhang, Huiyun, He, Kun, Jiang, Shengyi

    ISSN: 0957-4174, 1873-6793
    Veröffentlicht: New York Elsevier Ltd 15.07.2018
    Veröffentlicht in Expert systems with applications (15.07.2018)
    “… •A model of the unequal-area facility layout problem is described.•A modified multi-objective particle swarm optimization algorithm is proposed …”
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  15. 15

    Prepositioning emergency earthquake response supplies: A new multi-objective particle swarm optimization algorithm von Mohammadi, R., Ghomi, S.M.T. Fatemi, Jolai, F.

    ISSN: 0307-904X
    Veröffentlicht: Elsevier Inc 01.05.2016
    Veröffentlicht in Applied mathematical modelling (01.05.2016)
    “… •A new multi-objective particle swarm optimization algorithm is proposed to generate Pareto-fronts …”
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  16. 16

    A coevolutionary technique based on multi-swarm particle swarm optimization for dynamic multi-objective optimization von Liu, Ruochen, Li, Jianxia, fan, Jing, Mu, Caihong, Jiao, Licheng

    ISSN: 0377-2217, 1872-6860
    Veröffentlicht: Elsevier B.V 16.09.2017
    Veröffentlicht in European journal of operational research (16.09.2017)
    “… •It is applied to solve eight benchmark problems, with a good performance obtained. In real-world applications, there are many fields involving dynamic multi-objective optimization problems (DMOPs …”
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  17. 17

    A Novel Hybrid Interval Prediction Approach Based on Modified Lower Upper Bound Estimation in Combination with Multi-Objective Salp Swarm Algorithm for Short-Term Load Forecasting von Wang, Jiyang, Gao, Yuyang, Chen, Xuejun

    ISSN: 1996-1073, 1996-1073
    Veröffentlicht: Basel MDPI AG 01.06.2018
    Veröffentlicht in Energies (Basel) (01.06.2018)
    “… In this study, a novel hybrid system for short-term load forecasting (STLF) is proposed by integrating a data preprocessing module, a multi-objective optimization module, and an interval …”
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  18. 18

    Sustainable and environmentally-friendly multi-generation system of power, cooling, and hydrogen; Multi-objective optimization using particle swarm algorithm von Dingcheng, He, Metwally, Ahmed Sayed M., Ali, Shafaqat, Sillanpaa, Mika, Yassen, Wurood, Sobhani, Behnam

    ISSN: 1359-4311
    Veröffentlicht: Elsevier Ltd 05.05.2023
    Veröffentlicht in Applied thermal engineering (05.05.2023)
    “… •Assessing the system for simultaneous power, cooling, and hydrogen production.•Applying a Multi-objective optimization to determine the optimal parameters.•Producing 1501 kW, 433 kW, and 3.71 …”
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  19. 19

    Fuzzy model‐based multiobjective dynamic programming with modified particle swarm optimization approach for the balance control of bicycle robot von Sun, Yiyong, Zhao, Haotian, Chen, Zhang, Zheng, Xudong, Zhao, Mingguo, Liang, Bin

    ISSN: 1751-8644, 1751-8652
    Veröffentlicht: Stevenage John Wiley & Sons, Inc 01.01.2022
    Veröffentlicht in IET control theory & applications (01.01.2022)
    “… closed‐loop equation under a fuzzy controller is verified. To regulate the feedback gain of the fuzzy controller, a modified particle swarm optimization (MPSO …”
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  20. 20

    Multi-objective optimization of thermal performance in battery system using genetic and particle swarm algorithm combined with fuzzy logics von Afzal, Asif, Ramis, M.K.

    ISSN: 2352-152X, 2352-1538
    Veröffentlicht: Elsevier Ltd 01.12.2020
    Veröffentlicht in Journal of energy storage (01.12.2020)
    “… A novel technique for multi-objective optimization of thermal management in battery system using hybrid Genetic algorithm and Fuzzy logic is developed …”
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