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Natalio Krasnogor: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Natalio Krasnogor, Graciela Terrazas, David A. Pelta, Gabriela Ochoa
    A Critical View of the Evolutionary Design of Self-assembling Systems. [Citation Graph (0, 0)][DBLP]
    Artificial Evolution, 2005, pp:179-188 [Conf]
  2. Gabriela Ochoa, Gabi Escuela, Natalio Krasnogor
    Incorporating Knowledge of Secondary Structures in a L-System-Based Encoding for Protein Folding. [Citation Graph (0, 0)][DBLP]
    Artificial Evolution, 2005, pp:247-258 [Conf]
  3. Francesco Bernardini, Marian Gheorghe, Natalio Krasnogor, Germán Terrazas
    Membrane Computing - Current Results and Future Problems. [Citation Graph (0, 0)][DBLP]
    CiE, 2005, pp:49-53 [Conf]
  4. Germán Terrazas, Natalio Krasnogor, Marian Gheorghe, Francesco Bernardini, Steve Diggle, Miguel Cámara
    An Environment Aware P-System Model of Quorum Sensing. [Citation Graph (0, 0)][DBLP]
    CiE, 2005, pp:479-485 [Conf]
  5. Steven M. Gustafson, Edmund K. Burke, Natalio Krasnogor
    The Tree-String Problem: An Artificial Domain for Structure and Content Search. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2005, pp:215-226 [Conf]
  6. Gabi Escuela, Gabriela Ochoa, Natalio Krasnogor
    Evolving L-Systems to Capture Protein Structure Native Conformations. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2005, pp:74-84 [Conf]
  7. Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Natalio Krasnogor, Jacek Blazewicz
    From HP Lattice Models to Real Proteins: Coordination Number Prediction Using Learning Classifier Systems. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2006, pp:208-220 [Conf]
  8. Jaume Bacardit, Natalio Krasnogor
    Smart crossover operator with multiple parents for a Pittsburgh learning classifier system. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1441-1448 [Conf]
  9. Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst, Jacek Blazewicz
    Coordination number prediction using learning classifier systems: performance and interpretability. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:247-254 [Conf]
  10. Robert Carr, William Hart, Natalio Krasnogor, Jonathan D. Hirst, Edmund K. Burke, James Smith
    Alignment Of Protein Structures With A Memetic Evolutionary Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:1027-1034 [Conf]
  11. Natalio Krasnogor, Jim Smith
    A Memetic Algorithm With Self-Adaptive Local Search: TSP as a case study. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:987-994 [Conf]
  12. Natalio Krasnogor, Pablo E. Martínez López, Pablo Mocciola, David A. Pelta
    Protien Folding meets Functional Programming. [Citation Graph (0, 0)][DBLP]
    ICFP, 1997, pp:313- [Conf]
  13. Natalio Krasnogor, Pablo E. Martínez López, Pablo Mocciola, David A. Pelta
    Modelling String Folding with G2L Grammars. [Citation Graph (0, 0)][DBLP]
    ICFP, 1997, pp:314- [Conf]
  14. Francesco Bernardini, Marian Gheorghe, Natalio Krasnogor, Ravie C. Muniyandi, Mario J. Pérez-Jiménez, Francisco José Romero-Campero
    On P Systems as a Modelling Tool for Biological Systems. [Citation Graph (0, 0)][DBLP]
    Workshop on Membrane Computing, 2005, pp:114-133 [Conf]
  15. Luca Bianco, Dario Pescini, Peter Siepmann, Natalio Krasnogor, Francisco José Romero-Campero, Marian Gheorghe
    Towards a P Systems Pseudomonas Quorum Sensing Model. [Citation Graph (0, 0)][DBLP]
    Workshop on Membrane Computing, 2006, pp:197-214 [Conf]
  16. Edmund K. Burke, Steven M. Gustafson, Graham Kendall, Natalio Krasnogor
    Advanced Population Diversity Measures in Genetic Programming. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:341-350 [Conf]
  17. Natalio Krasnogor, B. P. Blackburne, Edmund K. Burke, Jonathan D. Hirst
    Multimeme Algorithms for Protein Structure Prediction. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:769-778 [Conf]
  18. Francesco Bernardini, Marian Gheorghe, Natalio Krasnogor, Jean-Louis Giavitto
    On Self-assembly in Population P Systems. [Citation Graph (0, 0)][DBLP]
    UC, 2005, pp:46-57 [Conf]
  19. Francesco Bernardini, Francisco José Romero-Campero, Marian Gheorghe, Mario J. Pérez-Jiménez, Maurice Margenstern, Sergey Verlan, Natalio Krasnogor
    On P Systems with Bounded Parallelism. [Citation Graph (0, 0)][DBLP]
    SYNASC, 2005, pp:399-406 [Conf]
  20. Natalio Krasnogor, David A. Pelta
    Measuring the similarity of protein structures by means of the universal similarity metric. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:7, pp:1015-1021 [Journal]
  21. Natalio Krasnogor, Marian Gheorghe, Germán Terrazas, Steve Diggle, Paul Williams, Miguel Cámara
    An Appealing Computational Mechanism Drawn from Bacterial Quorum Sensing. [Citation Graph (0, 0)][DBLP]
    Bulletin of the EATCS, 2005, v:85, n:, pp:135-148 [Journal]
  22. Manuel Lozano, Francisco Herrera, Natalio Krasnogor, Daniel Molina
    Real-Coded Memetic Algorithms with Crossover Hill-Climbing. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2004, v:12, n:3, pp:273-302 [Journal]
  23. David A. Pelta, Natalio Krasnogor
    Editorial. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:152, n:1, pp:1-3 [Journal]
  24. David A. Pelta, Natalio Krasnogor, Carlos Bousoño-Calzón, José L. Verdegay, Jonathan D. Hirst, Edmund K. Burke
    A fuzzy sets based generalization of contact maps for the overlap of protein structures. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:152, n:1, pp:103-123 [Journal]
  25. Natalio Krasnogor
    Self Generating Metaheuristics in Bioinformatics: The Proteins Structure Comparison Case. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2004, v:5, n:2, pp:181-201 [Journal]
  26. Natalio Krasnogor, Steven Gustafson
    A Study on the use of "self-generation" in memetic algorithms. [Citation Graph (0, 0)][DBLP]
    Natural Computing, 2004, v:3, n:1, pp:53-76 [Journal]
  27. Francesco Bernardini, Marian Gheorghe, Natalio Krasnogor
    Quorum sensing P systems. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2007, v:371, n:1-2, pp:20-33 [Journal]
  28. Natalio Krasnogor, James Smith
    A tutorial for competent memetic algorithms: model, taxonomy, and design issues. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2005, v:9, n:5, pp:474-488 [Journal]
  29. Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Kumara Sastry, Xavier Llorà, Natalio Krasnogor
    Automated alphabet reduction method with evolutionary algorithms for protein structure prediction. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:346-353 [Conf]
  30. Azhar Ali Shah, Daniel Barthel, Natalio Krasnogor
    Grid and Distributed Public Computing Schemes for Structural Proteomics: A Short Overview. [Citation Graph (0, 0)][DBLP]
    ISPA Workshops, 2007, pp:424-434 [Conf]
  31. Vincenzo Cutello, Natalio Krasnogor, Giuseppe Nicosia, Mario Pavone
    Immune Algorithm Versus Differential Evolution: A Comparative Case Study Using High Dimensional Function Optimization. [Citation Graph (0, 0)][DBLP]
    ICANNGA (1), 2007, pp:93-101 [Conf]
  32. Steven Gustafson, Edmund K. Burke, Natalio Krasnogor
    On improving genetic programming for symbolic regression. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:912-919 [Conf]
  33. Germán Terrazas, Natalio Krasnogor, Graham Kendall, Marian Gheorghe
    Automated tile design for self-assembly conformations. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1808-1814 [Conf]

  34. On the storage, management and analysis of (multi) similarity for large scale protein structure datasets in the grid. [Citation Graph (, )][DBLP]

  35. A framework for the application of decision trees to the analysis of SNPs data. [Citation Graph (, )][DBLP]

  36. An Approach to the Engineering of Cellular Models Based on P Systems. [Citation Graph (, )][DBLP]

  37. Structure and parameter estimation for cell systems biology models. [Citation Graph (, )][DBLP]

  38. A multi-scaled approach to artificial life simulation with P systems and dissipative particle dynamics. [Citation Graph (, )][DBLP]

  39. Fast rule representation for continuous attributes in genetics-based machine learning. [Citation Graph (, )][DBLP]

  40. Learning classifier systems for optimisation problems: a case study on fractal travelling salesman problem. [Citation Graph (, )][DBLP]

  41. Liposome logic. [Citation Graph (, )][DBLP]

  42. A mixed discrete-continuous attribute list representation for large scale classification domains. [Citation Graph (, )][DBLP]

  43. Synthetic biology: modelling and optimisation. [Citation Graph (, )][DBLP]

  44. Speeding up the evaluation of evolutionary learning systems using GPGPUs. [Citation Graph (, )][DBLP]

  45. P system model optimisation by means of evolutionary based search algorithms. [Citation Graph (, )][DBLP]

  46. Evolutionary symbolic discovery for bioinformatics, systems and synthetic biology. [Citation Graph (, )][DBLP]

  47. Analysing bioHEL using challenging boolean functions. [Citation Graph (, )][DBLP]

  48. Performance Evaluation of Protein Structure Comparison Algorithms Under Integrated Resource Management Environment for MPI Jobs. [Citation Graph (, )][DBLP]

  49. Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System. [Citation Graph (, )][DBLP]

  50. A Multiscale Modeling Framework Based on P Systems. [Citation Graph (, )][DBLP]

  51. A study on the design issues of Memetic Algorithm. [Citation Graph (, )][DBLP]

  52. Evolving tiles for automated self-assembly design. [Citation Graph (, )][DBLP]

  53. Evolutionary design of the energy function for protein structure prediction. [Citation Graph (, )][DBLP]

  54. Turing Machines with Cells on the Tape. [Citation Graph (, )][DBLP]

  55. Protein Structure Comparison through Fuzzy Contact Maps and the Universal Similarity Metric. [Citation Graph (, )][DBLP]

  56. Selecting protein fuzzy contact maps through information and structure measures. [Citation Graph (, )][DBLP]

  57. Discovering Beneficial Cooperative Structures for the Automated Construction of Heuristics. [Citation Graph (, )][DBLP]

  58. Prediction of recursive convex hull class assignments for protein residues. [Citation Graph (, )][DBLP]

  59. TopoGSA: network topological gene set analysis. [Citation Graph (, )][DBLP]

  60. ProCKSI: a decision support system for Protein (Structure) Comparison, Knowledge, Similarity and Information. [Citation Graph (, )][DBLP]

  61. Automated Alphabet Reduction for Protein Datasets. [Citation Graph (, )][DBLP]

  62. ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization. [Citation Graph (, )][DBLP]

  63. Towards the Design of Heuristics by Means of Self-Assembly [Citation Graph (, )][DBLP]

  64. Adaptive Cellular Memetic Algorithms. [Citation Graph (, )][DBLP]

  65. Performance and Efficiency of Memetic Pittsburgh Learning Classifier Systems. [Citation Graph (, )][DBLP]

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