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.
4. Particle swarm optimization for feature selection in classification: a multi-objective approach. Xue B; Zhang M; Browne WN IEEE Trans Cybern; 2013 Dec; 43(6):1656-71. PubMed ID: 24273143 [TBL] [Abstract][Full Text] [Related]
5. A hybrid particle swarm and neural network approach for detection of prostate cancer from benign hyperplasia of prostate. Sadoughi F; Ghaderzadeh M Stud Health Technol Inform; 2014; 205():481-5. PubMed ID: 25160231 [TBL] [Abstract][Full Text] [Related]
6. Strength Pareto particle swarm optimization and hybrid EA-PSO for multi-objective optimization. Elhossini A; Areibi S; Dony R Evol Comput; 2010; 18(1):127-56. PubMed ID: 20064026 [TBL] [Abstract][Full Text] [Related]
7. A self-learning particle swarm optimizer for global optimization problems. Li C; Yang S; Nguyen TT IEEE Trans Syst Man Cybern B Cybern; 2012 Jun; 42(3):627-46. PubMed ID: 22067435 [TBL] [Abstract][Full Text] [Related]
8. The performance verification of an evolutionary canonical particle swarm optimizer. Zhang H; Ishikawa M Neural Netw; 2010 May; 23(4):510-6. PubMed ID: 20346858 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. A constructive hybrid structure optimization methodology for radial basis probabilistic neural networks. Huang DS; Du JX IEEE Trans Neural Netw; 2008 Dec; 19(12):2099-115. PubMed ID: 19054734 [TBL] [Abstract][Full Text] [Related]
11. Lattice dynamical wavelet neural networks implemented using particle swarm optimization for spatio-temporal system identification. Wei HL; Billings SA; Zhao Y; Guo L IEEE Trans Neural Netw; 2009 Jan; 20(1):181-5. PubMed ID: 19129037 [TBL] [Abstract][Full Text] [Related]
12. Parameter Selection and Performance Comparison of Particle Swarm Optimization in Sensor Networks Localization. Cui H; Shu M; Song M; Wang Y Sensors (Basel); 2017 Mar; 17(3):. PubMed ID: 28257060 [TBL] [Abstract][Full Text] [Related]
13. Automated neuron model optimization techniques: a review. Van Geit W; De Schutter E; Achard P Biol Cybern; 2008 Nov; 99(4-5):241-51. PubMed ID: 19011918 [TBL] [Abstract][Full Text] [Related]
15. A particle swarm optimization algorithm for beam angle selection in intensity-modulated radiotherapy planning. Li Y; Yao D; Yao J; Chen W Phys Med Biol; 2005 Aug; 50(15):3491-514. PubMed ID: 16030379 [TBL] [Abstract][Full Text] [Related]
16. Convergence analysis of particle swarm optimizer and its improved algorithm based on velocity differential evolution. Ye H; Luo W; Li Z Comput Intell Neurosci; 2013; 2013():384125. PubMed ID: 24078806 [TBL] [Abstract][Full Text] [Related]
17. Particle swarm optimization with composite particles in dynamic environments. Liu L; Yang S; Wang D IEEE Trans Syst Man Cybern B Cybern; 2010 Dec; 40(6):1634-48. PubMed ID: 20371407 [TBL] [Abstract][Full Text] [Related]
18. A Comparison Study of Validity Indices on Swarm-Intelligence-Based Clustering. Rui Xu ; Jie Xu ; Wunsch DC IEEE Trans Syst Man Cybern B Cybern; 2012 Aug; 42(4):1243-56. PubMed ID: 22438515 [TBL] [Abstract][Full Text] [Related]
19. Evolutionary artificial neural networks by multi-dimensional particle swarm optimization. Kiranyaz S; Ince T; Yildirim A; Gabbouj M Neural Netw; 2009 Dec; 22(10):1448-62. PubMed ID: 19556105 [TBL] [Abstract][Full Text] [Related]
20. 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] [Next] [New Search]