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 *

127 related articles for article (PubMed ID: 20560762)

  • 1. On the effect of populations in evolutionary multi-objective optimisation.
    Giel O; Lehre PK
    Evol Comput; 2010; 18(3):335-56. PubMed ID: 20560762
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Exploring the runtime of an evolutionary algorithm for the multi-objective shortest path problem.
    Horoba C
    Evol Comput; 2010; 18(3):357-81. PubMed ID: 20560760
    [TBL] [Abstract][Full Text] [Related]  

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

  • 4. An efficient and accurate solution methodology for bilevel multi-objective programming problems using a hybrid evolutionary-local-search algorithm.
    Deb K; Sinha A
    Evol Comput; 2010; 18(3):403-49. PubMed ID: 20560758
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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; 13(4):501-25. PubMed ID: 16297281
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Genetic diversity as an objective in multi-objective evolutionary algorithms.
    Toffolo A; Benini E
    Evol Comput; 2003; 11(2):151-67. PubMed ID: 12875667
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An efficient algorithm for computing hypervolume contributions.
    Bringmann K; Friedrich T
    Evol Comput; 2010; 18(3):383-402. PubMed ID: 20560759
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multiobjective evolutionary algorithms: analyzing the state-of-the-art.
    Van Veldhuizen DA; Lamont GB
    Evol Comput; 2000; 8(2):125-47. PubMed ID: 10843518
    [TBL] [Abstract][Full Text] [Related]  

  • 9. On the use of multi-objective evolutionary algorithms for the induction of fuzzy classification rule systems.
    Setzkorn C; Paton RC
    Biosystems; 2005 Aug; 81(2):101-12. PubMed ID: 15939532
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Runtime analysis of an evolutionary algorithm for stochastic multi-objective combinatorial optimization.
    Gutjahr WJ
    Evol Comput; 2012; 20(3):395-421. PubMed ID: 22004001
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Statistical methods for convergence detection of multi-objective evolutionary algorithms.
    Trautmann H; Wagner T; Naujoks B; Preuss M; Mehnen J
    Evol Comput; 2009; 17(4):493-509. PubMed ID: 19916777
    [TBL] [Abstract][Full Text] [Related]  

  • 12. On the choice of the parent population size.
    Storch T
    Evol Comput; 2008; 16(4):557-78. PubMed ID: 19053499
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Population-based continuous optimization, probabilistic modelling and mean shift.
    Gallagher M; Frean M
    Evol Comput; 2005; 13(1):29-42. PubMed ID: 15901425
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Combining convergence and diversity in evolutionary multiobjective optimization.
    Laumanns M; Thiele L; Deb K; Zitzler E
    Evol Comput; 2002; 10(3):263-82. PubMed ID: 12227996
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An adaptive evolutionary multi-objective approach based on simulated annealing.
    Li H; Landa-Silva D
    Evol Comput; 2011; 19(4):561-95. PubMed ID: 21417745
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Unifying evolutionary dynamics: from individual stochastic processes to macroscopic models.
    Champagnat N; Ferrière R; Méléard S
    Theor Popul Biol; 2006 May; 69(3):297-321. PubMed ID: 16460772
    [TBL] [Abstract][Full Text] [Related]  

  • 17. HypE: an algorithm for fast hypervolume-based many-objective optimization.
    Bader J; Zitzler E
    Evol Comput; 2011; 19(1):45-76. PubMed ID: 20649424
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Runtime analysis of the (mu+1) EA on simple Pseudo-Boolean functions.
    Witt C
    Evol Comput; 2006; 14(1):65-86. PubMed ID: 16536891
    [TBL] [Abstract][Full Text] [Related]  

  • 19. On the use of multi-objective evolutionary algorithms for survival analysis.
    Setzkorn C; Taktak AF; Damato BE
    Biosystems; 2007 Jan; 87(1):31-48. PubMed ID: 16762491
    [TBL] [Abstract][Full Text] [Related]  

  • 20. On the benefits of populations for noisy optimization.
    Arnold DV; Beyer HG
    Evol Comput; 2003; 11(2):111-27. PubMed ID: 12875665
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.