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 *

182 related articles for article (PubMed ID: 35707376)

  • 1. Training a Feedforward Neural Network Using Hybrid Gravitational Search Algorithm with Dynamic Multiswarm Particle Swarm Optimization.
    Nagra AA; Alyas T; Hamid M; Tabassum N; Ahmad A
    Biomed Res Int; 2022; 2022():2636515. PubMed ID: 35707376
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Combining a gravitational search algorithm, particle swarm optimization, and fuzzy rules to improve the classification performance of a feed-forward neural network.
    Huang ML; Chou YC
    Comput Methods Programs Biomed; 2019 Oct; 180():105016. PubMed ID: 31442736
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An Adaptive Dual-Population Collaborative Chicken Swarm Optimization Algorithm for High-Dimensional Optimization.
    Liang J; Wang L; Ma M
    Biomimetics (Basel); 2023 May; 8(2):. PubMed ID: 37218796
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Feed-Forward Neural Network Soft-Sensor Modeling of Flotation Process Based on Particle Swarm Optimization and Gravitational Search Algorithm.
    Wang JS; Han S
    Comput Intell Neurosci; 2015; 2015():147843. PubMed ID: 26583034
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Dynamic Bayesian network structure learning based on an improved bacterial foraging optimization algorithm.
    Meng G; Cong Z; Li T; Wang C; Zhou M; Wang B
    Sci Rep; 2024 Apr; 14(1):8266. PubMed ID: 38594347
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Training of feedforward neural networks for data classification using hybrid particle swarm optimization, Mantegna Lévy flight and neighborhood search.
    Tarkhaneh O; Shen H
    Heliyon; 2019 Apr; 5(4):e01275. PubMed ID: 30993220
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MSHHOTSA: A variant of tunicate swarm algorithm combining multi-strategy mechanism and hybrid Harris optimization.
    Liu G; Guo Z; Liu W; Cao B; Chai S; Wang C
    PLoS One; 2023; 18(8):e0290117. PubMed ID: 37566618
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Swarming genetic algorithm: A nested fully coupled hybrid of genetic algorithm and particle swarm optimization.
    Aivaliotis-Apostolopoulos P; Loukidis D
    PLoS One; 2022; 17(9):e0275094. PubMed ID: 36149908
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Improved Multi-Strategy Sand Cat Swarm Optimization for Solving Global Optimization.
    Zhang K; He Y; Wang Y; Sun C
    Biomimetics (Basel); 2024 May; 9(5):. PubMed ID: 38786490
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An Improved Multi-Strategy Crayfish Optimization Algorithm for Solving Numerical Optimization Problems.
    Wang R; Zhang S; Zou G
    Biomimetics (Basel); 2024 Jun; 9(6):. PubMed ID: 38921241
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An improved hybrid of particle swarm optimization and the gravitational search algorithm to produce a kinetic parameter estimation of aspartate biochemical pathways.
    Ismail AM; Mohamad MS; Abdul Majid H; Abas KH; Deris S; Zaki N; Mohd Hashim SZ; Ibrahim Z; Remli MA
    Biosystems; 2017 Dec; 162():81-89. PubMed ID: 28951204
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A New Hybrid MGBPSO-GSA Variant for Improving Function Optimization Solution in Search Space.
    Singh N; Singh S; Singh SB
    Evol Bioinform Online; 2017; 13():1176934317699855. PubMed ID: 28469380
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Training Feedforward Neural Network Using Enhanced Black Hole Algorithm: A Case Study on COVID-19 Related ACE2 Gene Expression Classification.
    Pashaei E; Pashaei E
    Arab J Sci Eng; 2021; 46(4):3807-3828. PubMed ID: 33520590
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Bio-Inspired Multi-Population-Based Adaptive Backtracking Search Algorithm.
    Nama S; Saha AK
    Cognit Comput; 2022; 14(2):900-925. PubMed ID: 35126764
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multiswarm Particle Swarm Optimization with Transfer of the Best Particle.
    Wei XP; Zhang JX; Zhou DS; Zhang Q
    Comput Intell Neurosci; 2015; 2015():904713. PubMed ID: 26345200
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Retracted: Training a Feedforward Neural Network Using Hybrid Gravitational Search Algorithm with Dynamic Multiswarm Particle Swarm Optimization.
    International BR
    Biomed Res Int; 2024; 2024():9783980. PubMed ID: 38550109
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Dynamic Neighborhood Learning-Based Gravitational Search Algorithm.
    Zhang A; Sun G; Ren J; Li X; Wang Z; Jia X
    IEEE Trans Cybern; 2018 Jan; 48(1):436-447. PubMed ID: 28055941
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bio-Inspired Swarm Intelligence Optimization Algorithm-Aided Hybrid TDOA/AOA-Based Localization.
    Cao L; Chen H; Chen Y; Yue Y; Zhang X
    Biomimetics (Basel); 2023 Apr; 8(2):. PubMed ID: 37218772
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A hybrid particle swarm optimization algorithm for solving engineering problem.
    Qiao J; Wang G; Yang Z; Luo X; Chen J; Li K; Liu P
    Sci Rep; 2024 Apr; 14(1):8357. PubMed ID: 38594511
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A dynamic feedforward neural network based on gaussian particle swarm optimization and its application for predictive control.
    Han M; Fan J; Wang J
    IEEE Trans Neural Netw; 2011 Sep; 22(9):1457-68. PubMed ID: 21803682
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.