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Natalio Krasnogor

Professor of Applied Interdisciplinary Computing, Faculty of Science

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Research Summary

My main research interests are Memetic Algorithms , Genetic and Evolutionary Computation, DNA computation and complexity theories (e.g., Information/Kolmogorov and Computational ) applied to… read more

Selected Publications

Current Research

My main research interests are Memetic Algorithms , Genetic and Evolutionary Computation, DNA computation and complexity theories (e.g., Information/Kolmogorov and Computational ) applied to evolutionary computation.

  • BASSEL, G W, LAN, H, GLAAB, E, GIBBS, D J, GERJETS, T, KRASNOGOR, N, BONNER, A J, HOLDSWORTH, M J and PROVART, N J, 2011. From the Cover: Genome-wide network model capturing seed germination reveals coordinated regulation of plant cellular phase transitions. Proc Nat Acad Sci USA. 108(23), 9709-14
  • TWYCROSS, J., BAND, L.R., BENNETT, M.J., KING, J.R. and KRASNOGOR, N., 2010. Stochastic and deterministic multiscale models for systems biology: an auxin-transport case study BMC Systems Biology. 4(34),
  • SMALDON J, ROMERO-CAMPERO FJ, FERNÁNDEZ TRILLO F, GHEORGHE M, ALEXANDER C and KRASNOGOR N, 2010. A Computational Study Of Liposome Logic: Towards Cellular Computing From The Bottom Up. Systems And Synthetic Biology. 4(3), 157-79
  • GLAAB, E, BAUDOT, A, KRASNOGOR, N and VALENCIA, A, 2010. Extending Pathways And Processes Using Molecular Interaction Networks To Analyse Cancer Genome Data Bmc Bioinformatics. 11, -
  • PASPARAKIS, G, KRASNOGOR, N, CRONIN, L, DAVIS, BG and ALEXANDER, C, 2010. Controlled Polymer Synthesis-From Biomimicry Towards Synthetic Biology
  • SIEPMANN, P., MARTIN, C.P., VANCEA, I., MORIARTY, P.J. and KRASNOGOR, N., 2007. A genetic algorithm approach to probing the evolution of self-organized nanostructured systems Nano Letters. 7(7), 1985-1990
  • F. BERNARDINI, M. GHEORGHE, AND N. KRASNOGOR, 2007. Quorum sensing p systems Journal of Theoretical Computer Science.
  • G. TERRAZAS, P. SIEPMAN, G. KENDAL, AND N. KRASNOGOR, 2007. An evolutionary methodology for the automated design of cellular automaton-based complex systems Journal of Cellular Automata. (In Press.)
  • STOUT,M., BACARDIT,J., HIRST,J.D., KRASNOGOR,N. and BLAZEWICZ,J., 2006. From HP Lattice Models to Real Proteins: Coordination Number Prediction Using Learning Classifier Systems. In: Applications of Evolutionary Computing.EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC Budapest, Hungary, April 10-12, 2006 Proceedings Springer; Berlin. 208-220
  • CRONIN, L., KRASNOGOR, N., DAVIS, B.G., ALEXANDER, C., ROBERTSON, N., STEINKE, J.H.G., SCHROEDER, S.L.M., KHLOBYSTOV, A.N., COOPER, G., GARDNER, P.M., SEIPMANN, P., WHITAKER, B.J. and MARSH, D., 2006. The imitation game–a computational chemical approach to recognizing life. Nature Biotechnology. 24(10), 1203-1206
  • PELTA, D., KRASNOGOR, N., BOUSONO-CALZON, C., VERDEGAY, J.L., HIRST, J. and BURKE, E., 2005. A fuzzy sets based generalization of contact maps for the overlap of protein structures Fuzzy Sets and Systems. 152(1), 103-123
  • TERRAZAS, G., KRASNOGOR, N., GHEORGHE, M., BERNARDINI, F., DIGGLE, S. and CAMARA, M., 2005. An Environment Aware P-System Model of Quorum Sensing Lecture notes in computer science. ISSU 3526, 479-485
  • KRASNOGOR, N. and SMITH, J.E., 2005. A tutorial for competent memetic algorithms: model, taxonomy and design issues IEEE Transactions on Evolutionary Computation. 9(5), 474-488
  • GUSTAFSON, S., BURKE, E.K. and KRASNOGOR, N., 2005. On improving genetic programming for symbolic regression In: 2005 IEEE Congress on Evolutionary Computation. 912-919
  • KRASNOGOR, N. and PELTA, D.A., 2004. Measuring the similarity of protein structures by means of the universal similarity metric Bioinformatics. 20(7), 1015-1021
  • LOZANO, M., HERRERA, F., KRASNOGOR, N. and MOLINA, D., 2004. Real-coded memetic algorithms with crossover hill-climbing Evolutionary Computation. 12(3), 273-302
  • KRASNOGOR,N., 2004. Self-generating metaheuristics in bioinformatics: the proteins structure comparison cases Journal of Genetic Programming and Evolvable Machines. 5(2), 181-201
  • N.KRASNOGOR AND S. GUSTAFSON, 2004. A study on the use of ``self-generation'' in memetic algorithms Natural Computing. 3(1), 53 - 76
  • BURKE, E.K., GUSTAFSON, S.M., KENDALL, G. and KRASNOGOR, N., 2003. Is increased diversity beneficial in genetic programming beneficial: an analysis of the effects on fitness In: Conference on Evolutionary Computation (CEC2003). 1398-1405
  • BURKE, E.K., GUSTAFSON, S.M., KENDALL, G. and KRASNOGOR, N., 2002. Advanced population diversity measures in genetic programming In: Seventh Parallel Problem Solving from Nature (PPSN VII) Conference. 341-350
  • CARR, B., HART, W.E., KRASNOGOR, N., HIRST, J.D., BURKE, E.K. and SMITH, J.E., 2002. Alignment of protein structures with a memetic evolutionary algorithm In: Genetic and Evolutionary Computation Conference (GECCO-2002). 1027-1034
  • KRASNOGOR, N., BLACKBURNE, J.D., HIRST, J.D. and BURKE, E.K., 2002. Multimeme algorithms for protein structure prediction In: Seventh Parallel Problem Solving from Nature (PPSN VII) Conference. 769-778
  • KRASNOGOR, N. and SMITH, J.E., 2002. Multimeme Algorithms for the Structure Prediction and Structure Comparison of Proteins In: Workshop on Biological Applications of Evolutionary Computation GECCO2002.
  • KRASNOGOR, N. and PELTA, D.A., 2001. F.A.N.S. for the Protein Folding Problem: Comparing Encodings and Search Modes In: 4th Metaheuristics International Conference MIC2001.
  • KRASNOGOR, N. and SMITH, J.E., 2001. Emergence of Profitable Search Strategies Based on a Simple Inheritance Mechanism In: 2001 International Genetic and Evolutionary Computation Conference GECCO2001.
  • KRASNOGOR, N. and SMITH, J.E., 2000. A Memetic Algorithm with Self-Adaptive Local Search: TSP as a Case Study In: 2000 International Genetic and Evolutionary Computation Conference GECCO2000.
  • KRASNOGOR, N. and SMITH, J.E., 2000. MAFRA A Java Memetic Algorithms Framework In: 2000 International Genetic and Evolutionary Computation Conference GECCO2000.
  • N. KRASNOGOR, M. GHEORGHE, G. TERRAZAS, S. DIGGLE, P. WILLIAMS, AND M. CAMARA, An appealing computational mechanism drawn from bacterial quorum sensing Bulletin of the European Association of Theoretical Computer Science. 85, 135-148 (In Press.)

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