These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

126 related articles for article (PubMed ID: 38862538)

  • 1. Comprehensive analysis of optimal power flow using recent metaheuristic algorithms.
    Diab AAZ; Abdelhamid AM; Sultan HM
    Sci Rep; 2024 Jun; 14(1):13422. PubMed ID: 38862538
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development and application of equilibrium optimizer for optimal power flow calculation of power system.
    Houssein EH; Hassan MH; Mahdy MA; Kamel S
    Appl Intell (Dordr); 2023; 53(6):7232-7253. PubMed ID: 35875200
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Application of modified artificial hummingbird algorithm in optimal power flow and generation capacity in power networks considering renewable energy sources.
    Emam MM; Houssein EH; Tolba MA; Zaky MM; Hamouda Ali M
    Sci Rep; 2023 Dec; 13(1):21446. PubMed ID: 38052877
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Optimal power flow using hybrid firefly and particle swarm optimization algorithm.
    Khan A; Hizam H; Bin Abdul Wahab NI; Lutfi Othman M
    PLoS One; 2020; 15(8):e0235668. PubMed ID: 32776932
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A hybrid deep learning approach to solve optimal power flow problem in hybrid renewable energy systems.
    Gurumoorthi G; Senthilkumar S; Karthikeyan G; Alsaif F
    Sci Rep; 2024 Aug; 14(1):19377. PubMed ID: 39169061
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Parallel operated hybrid Arithmetic-Salp swarm optimizer for optimal allocation of multiple distributed generation units in distribution networks.
    Anjum ZM; Said DM; Hassan MY; Leghari ZH; Sahar G
    PLoS One; 2022; 17(4):e0264958. PubMed ID: 35417475
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Marine predators algorithm for solving single-objective optimal power flow.
    Islam MZ; Othman ML; Abdul Wahab NI; Veerasamy V; Opu SR; Inbamani A; Annamalai V
    PLoS One; 2021; 16(8):e0256050. PubMed ID: 34383821
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An integrated binary metaheuristic approach in dynamic unit commitment and economic emission dispatch for hybrid energy systems.
    Syama S; Ramprabhakar J; Anand R; Guerrero JM
    Sci Rep; 2024 Oct; 14(1):23964. PubMed ID: 39397068
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Artificial bee colony algorithm for solving optimal power flow problem.
    Le Dinh L; Vo Ngoc D; Vasant P
    ScientificWorldJournal; 2013; 2013():159040. PubMed ID: 24470790
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dynamic Population on Bio-Inspired Algorithms Using Machine Learning for Global Optimization.
    Caselli N; Soto R; Crawford B; Valdivia S; Chicata E; Olivares R
    Biomimetics (Basel); 2023 Dec; 9(1):. PubMed ID: 38248581
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Rank-driven salp swarm algorithm with orthogonal opposition-based learning for global optimization.
    Wang Z; Ding H; Yang Z; Li B; Guan Z; Bao L
    Appl Intell (Dordr); 2022; 52(7):7922-7964. PubMed ID: 34764621
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Boosting cuckoo optimization algorithm via Gaussian mixture model for optimal power flow problem in a hybrid power system with solar and wind renewable energies.
    Alghamdi AS; Zohdy MA
    Heliyon; 2024 Jun; 10(11):e31755. PubMed ID: 38841492
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Training of Feed-Forward Neural Networks by Using Optimization Algorithms Based on Swarm-Intelligent for Maximum Power Point Tracking.
    Kaya E; Baştemur Kaya C; Bendeş E; Atasever S; Öztürk B; Yazlık B
    Biomimetics (Basel); 2023 Sep; 8(5):. PubMed ID: 37754153
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Velocity clamping-assisted adaptive salp swarm algorithm: balance analysis and case studies.
    Ding H; Cao X; Wang Z; Dhiman G; Hou P; Wang J; Li A; Hu X
    Math Biosci Eng; 2022 May; 19(8):7756-7804. PubMed ID: 35801444
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multiobjective optimal power flow for static voltage stability margin improvement.
    Kyomugisha R; Muriithi CM; Edimu M
    Heliyon; 2021 Dec; 7(12):e08631. PubMed ID: 35005280
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An enhanced turbulent flow of water-based optimization for optimal power flow of power system integrated wind turbine and solar photovoltaic generators.
    Zahedibialvaei A; Trojovský P; Hesari-Shermeh M; Matoušová I; Trojovská E; Hubálovský Š
    Sci Rep; 2023 Sep; 13(1):14635. PubMed ID: 37670054
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An Efficacious Multi-Objective Fuzzy Linear Programming Approach for Optimal Power Flow Considering Distributed Generation.
    Warid W; Hizam H; Mariun N; Abdul-Wahab NI
    PLoS One; 2016; 11(3):e0149589. PubMed ID: 26954783
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Economical-environmental-technical optimal power flow solutions using a novel self-adaptive wild geese algorithm with stochastic wind and solar power.
    Trojovský P; Trojovská E; Akbari E
    Sci Rep; 2024 Feb; 14(1):4135. PubMed ID: 38374395
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An Innovative Excited-ACS-IDGWO Algorithm for Optimal Biomedical Data Feature Selection.
    Segera D; Mbuthia M; Nyete A
    Biomed Res Int; 2020; 2020():8506365. PubMed ID: 32908920
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Orthogonal pinhole-imaging-based learning salp swarm algorithm with self-adaptive structure for global optimization.
    Wang Z; Ding H; Yang J; Hou P; Dhiman G; Wang J; Yang Z; Li A
    Front Bioeng Biotechnol; 2022; 10():1018895. PubMed ID: 36532584
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.