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Evolutionary Theory and Mathematics

    Title [click for details] Year *.pdf Citation # [Google] (2017-11) [3583 total] Journal 2011 Impact Factor

  1. Unified reduction principle for the evolution of mutation, migration, and recombination , Lee Altenberg, Uri Liberman, and Marcus W. Feldman
    Proceedings of the National Academy of Sciences USA
  2. 2017 [PDF] [0 Cites] [9.681]

  3. Probing the axioms of evolutionary algorithm design: Commentary on “On the mapping of genotype to phenotype in evolutionary algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin
    Genetic Programming and Evolvable Machines, 1-5
  4. 2017 [PDF] [1 Cite] [1.00]

  5. Genetic Information, Mutation Rates, and the Lore of the Error Threshold
    Proceedings of the 9th International Conference on Bioinformatics and Computational Biology (BICOB 2017), in press.
  6. 2017

  7. Evolutionary Computation
    Elsevier Encyclopedia of Evolutionary Biology (2):40-47.
  8. 2016 [PDF]

  9. Norm Statement Considered Harmful: Comment on “Evolution of Unconditional Dispersal in Periodic Environments”
    Journal of Biological Dynamics 10 (1): 342-346.
  10. 2016 [PDF] [1.147]

  11. Fundamental Properties of the Evolution of Mutational Robustness
    arXiv preprint arXiv:1508.07866
  12. 2015 [PDF]

  13. Statistical Problems in a Paper on Variation In Cancer Risk Among Tissues, and New Discoveries
    arXiv preprint arXiv:1006.3147
  14. 2015 [PDF] [3 Cites]

  15. Evolvability and Robustness in Artificial Evolving Systems: Three Perturbations
    Genetic Programming and Evolvable Machines 15(3): 275-280
  16. 2014 [PDF] [2 Cites] [1.00]

  17. Mathematics Awaits: Commentary on “Genetic Programming and Emergence” by Wolfgang Banzhaf
    Genetic Programming and Evolvable Machines 15(1): 87-89
  18. 2014 [PDF] [2 Cites] [1.00]

  19. On the Ordering of Spectral Radius Product r(A) r(AD) Versus r(A2D) and Related Applications
    SIAM Journal on Matrix Analysis and Applications 34(3): 978-998
  20. 2013 [PDF] [1.368]

  21. A Sharpened Condition for Strict Log-Convexity of the Spectral Radius via the Bipartite Graph
    Linear Algebra and Its Applications 438: 3702-3718
  22. 2013 [PDF] [4 Cites] [0.974]

  23. Implications of the Reduction Principle for Cosmological Natural Selection
    arXiv preprint arXiv:1302.1293
  24. 2013 [PDF] [1 Cite]

  25. Social Insight Rings True 125 Years On
    Correspondence, Nature 490 (7421): 487
  26. 2012 [HTML] [36.28]

  27. The Principle of Partial Control in Reaction-Diffusion Models for the Evolution of Dispersal
  28. 2012 [PDF] [1 Cite]

  29. The Evolution of Dispersal in Random Environments and the Principle of Partial Control
    Ecological Monographs 82(3): 297-333
  30. 2012 [PDF] [10 Cites] [7.433]

  31. Resolvent Positive Linear Operators Exhibit the Reduction Phenomenon
    Proceedings of the National Academy of Sciences USA 109 (10): 3705-3710
  32. 2012 [PDF] [21 Cites] [9.681]

  33. An Evolutionary Reduction Principle for Mutation Rates at Multiple Loci
    Bulletin of Mathematical Biology 73: 1227-1270
  34. 2011 [PDF] [13 Cites] [1.847]

  35. Proof of the Feldman-Karlin Conjecture on the Maximum Number of Equilibria in an Evolutionary System
    Theoretical Population Biology 77: 263-269
  36. 2010 [PDF] [9 Cites] [1.65]

  37. Karlin Theory On Growth and Mixing Extended to Linear Differential Equations
    arXiv preprint arXiv:1006.3147
  38. 2010 [PDF] [2 Cites]

  39. The Evolutionary Reduction Principle for Linear Variation in Genetic Transmission
    Bulletin of Mathematical Biology 71 (5): 1264-1284
  40. 2009 [PDF] [9 Cites] [1.847]

  41. The Doctoral Advisor Genealogy of Samuel Karlin, Marcus W. Feldman, and Students
  42. 2007 [PDF]

  43. Evolvability Suppression to Stabilize Far-Sighted Adaptations
    Artificial Life 11 (4): 427-443
  44. 2005 [PDF] [16 Cites] [2.282]

  45. Modularity in Evolution: Some Low-Level Questions
    In Modularity: Understanding the Development and Evolution of Complex Natural Systems, Diego Rasskin-Gutman and Werner Callebaut, editors. MIT Press
  46. 2005 [PDF] [45 Cites]

  47. Simon-Ando Decomposability and Fitness Landscapes, M. Shpak, P. Stadler, G. P.Wagner, and L. Altenberg
    Theory in Biosciences 123: 139-180
  48. 2004 [PDF] [16 Cites] [0.979]

  49. Open Problems in the Spectral Analysis of Evolutionary Dynamics
    Pages 73-99 in Frontiers of Evolutionary Computation, ed. Anil Menon, Genetic Algorithms And Evolutionary Computation Series Vol. 11, Kluwer Academic Publishers, Boston
  50. 2004 [PDF] [5 Cites]

  51. No sign of “dying genome” [Letter to Science, unpublished]
  52. 2000 [HTML]

  53. Evolvability Checkpoints Against Evolutionary Pathologies
    Artificial Life 7, 3-7
  54. 2000 [PDF] [9 Cites]

  55. Tutorial: Evolutionary Computation Models from Population Genetics:
    Part 2: An Historical Toolbox

    Congress on Evolutionary Computation
  56. 2000 [PDF] [7 Cites]

  57. Fitness Distance Correlation Analysis: An Instructive Counterexample
    In Proceedings of the Seventh International Conference on Genetic Algorithms, ed. T. Baeck. Morgan Kaufmann, San Mateo, 57-64
  58. 1997 [PDF] [141 Cites]

  59. NK Fitness Landscapes
    In Handbook of Evolutionary Computation, ed. T. Back, D. Fogel, and Z. Michalewicz. Institute of Physics Press
  60. 1996 [PDF] [186 Cites]

  61. Complex Adaptations and the Evolution of Evolvability, G. P. Wagner and L. Altenberg
    Evolution 50 (3): 967-976
  62. 1996 [PDF] [1627 Cites] [5.146]

  63. Genome Growth and the Evolution of the Genotype-Phenotype Map
    In Evolution and Biocomputation: Computational Models of Evolution, ed. Wolfgang Banzhaf and Frank H. Eeckman. Lecture Notes in Computer Science vol. 899. Springer-Verlag, pp. 205-259
  64. 1995 [PDF] [164 Cites]

  65. The Schema Theorem and Price’s Theorem
    In Foundations of Genetic Algorithms 3, ed. Darrell Whitley and Michael Vose. Morgan Kaufmann, San Francisco, pp. 23-49
  66. 1995 [PDF] [322 Cites]

  67. Evolving Better Representations through Selective Genome Growth
    Proceedings of the IEEE World Congress on Computational Intelligence, pp. 182-187
  68. 1994 [PDF] [128 Cites]

  69. Emergent Phenomena in Genetic Programming
    In Proceedings of the Third Annual Conference on Evolutionary Programming, ed. Anthony V. Sebald and Lawrence J. Fogel. World Scientific, pp. 233-241
  70. 1994 [PDF] [94 Cites]

  71. The Evolution of Evolvability in Genetic Programming
    Chapter 3 in Advances in Genetic Programming, ed. Kenneth Kinnear. MIT Press, pp. 47-74
  72. 1994 [PDF] [449 Cites]

  73. Chaos from Linear Frequency-Dependent Selection
    American Naturalist 138: 51-68
  74. 1991 [PDF] [59 Cites] [4.725]

  75. Maternal terminology
    Scientific Correspondence, Nature 331: 309 (28 January 1988)
  76. 1988 [HTML] [36.28]

  77. Selection, generalized transmission and the evolution of modifier genes.
    I. The reduction principle
    , L. Altenberg and M. W. Feldman
    Genetics 117: 559-572
  78. 1987 [PDF] [95 Cites] [4.007]

  79. Selection for increased mutation rates with fertility differences between matings , K Holsinger, M. W. Feldman, and L. Altenberg
    Genetics 112: 909-922
  80. 1986 [PDF] [22 Cites] [4.007]

  81. Selection for Modularity in the Genome , L. Altenberg and D. L. Brutlag
    Cited in: Doolittle, W.F. 1987. The Origin and Function of Intervening Sequences in DNA: A Review. American Naturalist 130: 915-928; and Doolittle, W.F. 1987. What Introns Have to Tell Us: Hierarchy in Genome Evolution. Cold Spring Harb Symp Quant Biol 52: 907-913
  82. 1986 [PDF] [4 Cites]

  83. Knowledge Representation in the Genome: New Genes, Exons, and Pleiotropy
    Genetics 110: supplement, s41
  84. 1985 [HTML] [10 Cites] [4.007]

  85. Statistical inference on measures of niche overlap , L. D. Mueller and L. Altenberg
    Ecology 66: 1204-1210
  86. 1985 [PDF] [90 Cites] [4.849]

  87. A Generalization of Theory on the Evolution of Modifier Genes,
    Ph.D. Dissertation, Stanford University. University Microfilms International, Ann Arbor
  88. 1984 [PDF] [21 Cites]

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