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.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

1481 related items for PubMed ID: 20064026

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. 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 07; 50(15):3491-514. PubMed ID: 16030379
    [Abstract] [Full Text] [Related]

  • 3. Computing gap free Pareto front approximations with stochastic search algorithms.
    Schütze O, Laumanns M, Tantar E, Coello CA, Talbi el-G.
    Evol Comput; 2010 Aug 07; 18(1):65-96. PubMed ID: 20064024
    [Abstract] [Full Text] [Related]

  • 4. PSO-based multiobjective optimization with dynamic population size and adaptive local archives.
    Leong WF, Yen GG.
    IEEE Trans Syst Man Cybern B Cybern; 2008 Oct 07; 38(5):1270-93. PubMed ID: 18784011
    [Abstract] [Full Text] [Related]

  • 5. Evolutionary swarm neural network game engine for Capture Go.
    Cai X, Venayagamoorthy GK, Wunsch DC.
    Neural Netw; 2010 Mar 07; 23(2):295-305. PubMed ID: 20005671
    [Abstract] [Full Text] [Related]

  • 6. The performance verification of an evolutionary canonical particle swarm optimizer.
    Zhang H, Ishikawa M.
    Neural Netw; 2010 May 07; 23(4):510-6. PubMed ID: 20346858
    [Abstract] [Full Text] [Related]

  • 7. Evolutionary artificial neural networks by multi-dimensional particle swarm optimization.
    Kiranyaz S, Ince T, Yildirim A, Gabbouj M.
    Neural Netw; 2009 Dec 07; 22(10):1448-62. PubMed ID: 19556105
    [Abstract] [Full Text] [Related]

  • 8. Evaluating the epsilon-domination based multi-objective evolutionary algorithm for a quick computation of Pareto-optimal solutions.
    Deb K, Mohan M, Mishra S.
    Evol Comput; 2005 Dec 07; 13(4):501-25. PubMed ID: 16297281
    [Abstract] [Full Text] [Related]

  • 9. Automatic generation of controllers for embodied legged organisms: a Pareto evolutionary multi-objective approach.
    Teo J, Abbass HA.
    Evol Comput; 2004 Dec 07; 12(3):355-94. PubMed ID: 15355605
    [Abstract] [Full Text] [Related]

  • 10. An orthogonal multi-objective evolutionary algorithm for multi-objective optimization problems with constraints.
    Zeng SY, Kang LS, Ding LX.
    Evol Comput; 2004 Dec 07; 12(1):77-98. PubMed ID: 15096306
    [Abstract] [Full Text] [Related]

  • 11. Hybrid particle swarm optimization with wavelet mutation and its industrial applications.
    Ling SH, Iu HH, Chan KY, Lam HK, Yeung BC, Leung FH.
    IEEE Trans Syst Man Cybern B Cybern; 2008 Jun 07; 38(3):743-63. PubMed ID: 18558539
    [Abstract] [Full Text] [Related]

  • 12. A new evolutionary algorithm for solving many-objective optimization problems.
    Zou X, Chen Y, Liu M, Kang L.
    IEEE Trans Syst Man Cybern B Cybern; 2008 Oct 07; 38(5):1402-12. PubMed ID: 18784020
    [Abstract] [Full Text] [Related]

  • 13. Particle swarm optimization with composite particles in dynamic environments.
    Liu L, Yang S, Wang D.
    IEEE Trans Syst Man Cybern B Cybern; 2010 Dec 07; 40(6):1634-48. PubMed ID: 20371407
    [Abstract] [Full Text] [Related]

  • 14. Particle swarm optimization for feature selection in classification: a multi-objective approach.
    Xue B, Zhang M, Browne WN.
    IEEE Trans Cybern; 2013 Dec 07; 43(6):1656-71. PubMed ID: 24273143
    [Abstract] [Full Text] [Related]

  • 15. Incremental social learning in particle swarms.
    de Oca MA, Stutzle T, Van den Enden K, Dorigo M.
    IEEE Trans Syst Man Cybern B Cybern; 2011 Apr 07; 41(2):368-84. PubMed ID: 20875976
    [Abstract] [Full Text] [Related]

  • 16. Modified particle swarm optimization algorithm for variable selection in MLR and PLS modeling: QSAR studies of antagonism of angiotensin II antagonists.
    Shen Q, Jiang JH, Jiao CX, Shen GL, Yu RQ.
    Eur J Pharm Sci; 2004 Jun 07; 22(2-3):145-52. PubMed ID: 15158899
    [Abstract] [Full Text] [Related]

  • 17. A new particle swarm algorithm and its globally convergent modifications.
    Gao H, Xu W.
    IEEE Trans Syst Man Cybern B Cybern; 2011 Oct 07; 41(5):1334-51. PubMed ID: 21609888
    [Abstract] [Full Text] [Related]

  • 18. 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 07; 42(3):627-46. PubMed ID: 22067435
    [Abstract] [Full Text] [Related]

  • 19. SODOCK: swarm optimization for highly flexible protein-ligand docking.
    Chen HM, Liu BF, Huang HL, Hwang SF, Ho SY.
    J Comput Chem; 2007 Jan 30; 28(2):612-23. PubMed ID: 17186483
    [Abstract] [Full Text] [Related]

  • 20. Multimodal optimization using a bi-objective evolutionary algorithm.
    Deb K, Saha A.
    Evol Comput; 2012 Jan 30; 20(1):27-62. PubMed ID: 21591888
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 75.