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Journal Abstract Search

115 related items for PubMed ID: 28414521

  • 21.
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  • 23. Optimization of amino acid replacement costs by mutational pressure in bacterial genomes.
    Błażej P, Mackiewicz D, Grabińska M, Wnętrzak M, Mackiewicz P.
    Sci Rep; 2017 Apr 21; 7(1):1061. PubMed ID: 28432324
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  • 24.
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  • 25. On handling ephemeral resource constraints in evolutionary search.
    Allmendinger R, Knowles J.
    Evol Comput; 2013 Apr 21; 21(3):497-531. PubMed ID: 23163779
    [Abstract] [Full Text] [Related]

  • 26. Analyzing Evolutionary Optimization in Noisy Environments.
    Qian C, Yu Y, Zhou ZH.
    Evol Comput; 2018 Apr 21; 26(1):1-41. PubMed ID: 26485581
    [Abstract] [Full Text] [Related]

  • 27. 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 21; 38(5):1402-12. PubMed ID: 18784020
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  • 29. Evolutionary squeaky wheel optimization: a new framework for analysis.
    Li J, Parkes AJ, Burke EK.
    Evol Comput; 2011 Oct 21; 19(3):405-28. PubMed ID: 21265626
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  • 31. Efficient algorithms for protein sequence design and the analysis of certain evolutionary fitness landscapes.
    Kleinberg JM.
    J Comput Biol; 1999 Oct 21; 6(3-4):387-404. PubMed ID: 10582574
    [Abstract] [Full Text] [Related]

  • 32. A study on scalable representations for evolutionary optimization of ground structures.
    Devert A, Weise T, Tang K.
    Evol Comput; 2012 Oct 21; 20(3):453-79. PubMed ID: 22004002
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  • 33. Point mutations as an optimal search process in biological evolution.
    Borstnik B, Pumpernik D, Hofacker GL.
    J Theor Biol; 1987 Apr 07; 125(3):249-68. PubMed ID: 3657212
    [Abstract] [Full Text] [Related]

  • 34. Evolutionary algorithms with segment-based search for multiobjective optimization problems.
    Li M, Yang S, Li K, Liu X.
    IEEE Trans Cybern; 2014 Aug 07; 44(8):1295-313. PubMed ID: 24132034
    [Abstract] [Full Text] [Related]

  • 35. Hybrid multiobjective evolutionary design for artificial neural networks.
    Goh CK, Teoh EJ, Tan KC.
    IEEE Trans Neural Netw; 2008 Sep 07; 19(9):1531-48. PubMed ID: 18779086
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  • 36. A hybrid artificial bee colony optimization and quantum evolutionary algorithm for continuous optimization problems.
    Duan HB, Xu CF, Xing ZH.
    Int J Neural Syst; 2010 Feb 07; 20(1):39-50. PubMed ID: 20180252
    [Abstract] [Full Text] [Related]

  • 37. A Biogeography-Based Optimization Algorithm Hybridized with Tabu Search for the Quadratic Assignment Problem.
    Lim WL, Wibowo A, Desa MI, Haron H.
    Comput Intell Neurosci; 2016 Feb 07; 2016():5803893. PubMed ID: 26819585
    [Abstract] [Full Text] [Related]

  • 38. A study of redundancy and neutrality in evolutionary optimization.
    Correia MB.
    Evol Comput; 2013 Feb 07; 21(3):413-43. PubMed ID: 22998618
    [Abstract] [Full Text] [Related]

  • 39. Analyses of simple hybrid algorithms for the vertex cover problem.
    Friedrich T, He J, Hebbinghaus N, Neumann F, Witt C.
    Evol Comput; 2009 Feb 07; 17(1):3-19. PubMed ID: 19207086
    [Abstract] [Full Text] [Related]

  • 40. A computationally efficient evolutionary algorithm for real-parameter optimization.
    Deb K, Anand A, Joshi D.
    Evol Comput; 2002 Feb 07; 10(4):371-95. PubMed ID: 12450456
    [Abstract] [Full Text] [Related]

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