| [1] | M. Franco, N. Krasnogor, and J. Bacardit. Post-processing operators for desicion lists. In Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation (GECCO2012), volume (to appear). ACM, 2012. [ bib ] |
| [2] | D. Agostini, J. Costanza, V. Cutello, L. Zammataro, N. Krasnogor, M. Pavone, and G. Nicosia. Effective calibration of artificial gene regulatory networks. In 20th European Conference on Artificial Life (ECAL), pages 39-46. MIT Press, 2011. [ bib | http | .pdf ] |
| [3] | M. Franco, N. Krasnogor, and J. Bacardit. Modelling the initialisation stage of the alkr representation for discrete domains and the gabil encoding. In Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation - GECCO2011, pages 1291-1298. ACM, 2011. This paper is nominated for a best paper award. [ bib | .pdf ] |
| [4] | María A. Franco, N. Krasnogor, and J. Bacardit. Speeding up the evaluation of evolutionary learning systems using gpgpus. In GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 1039-1046. ACM, 2010. This paper won a Best Paper Award. [ bib | DOI | .pdf ] |
| [5] | C. Garcia-Martinez, C. Lima, J. Twycross, M. Lozano, and N. Krasnogor. P system model optimisation by means of evolutionary based search algorithms. In Proceedings of the 2010 Genetic and Evolutionary Computation Conference (GECCO 2010), pages 187-194. ACM, 2010. Nominated for Best Paper Award. [ bib | DOI | .pdf ] |
| [6] | G. Terrazas and N. Krasnogor. Grammatical rules for the automated construction of heuristics. In Proceedings of the IEEE Congress on Evolutionary Computations, pages 2749-2756. IEEE, 2010. [ bib | .pdf ] |
| [7] | G. Terrazas, D. Landa-Silva, and N. Krasnogor. Towards the design of heuristics by means of self-assembly. In Electronic Proceedings in Theoretical Computer Science 2010, volume 26, pages 135-146, 2010. [ bib | .pdf ] |
| [8] | J. Bacardit and N. Krasnogor. A mixed discrete-continuous attribute list representation for large scale classification domains. In Proceedings of the 2009 Genetic and Evolutionary Computation Conference (GECCO 2009), pages 1155-1162. ACM, 2009. [ bib | DOI | .pdf ] |
| [9] | F.J. Romero-Campero and N. Krasnogor. An approach to the engineering of cellular models based on p systems. In Proceedings of Computation In Europe (CIE 2009), volume 5635/2009 of Lecture Notes in Computer Science, pages 430-436, 2009. [ bib | DOI | .pdf ] |
| [10] | L. Fiaschi, J. Garibaldi, and N. Krasnogor. A framework for the application of decision trees to the analysis of snps data. In Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, page (to appear). IEEE, 2009. [ bib | .pdf ] |
| [11] | G. Folino, A.A. Shah, and N. Krasnogor. On the storage, management and analysis of (multi) similarity for large scale protein structure datasets in the grid. In Proceedings of IEEE CBMS 2009, the 22nd IEEE International Symposium on Computer-Based Medical Systems. IEEE press, 2009. [ bib | .pdf ] |
| [12] | J. Smaldon, M. Gheorghe, A. Cameron, and N. Krasnogor. Liposome logic. In GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 161-168. ACM, 2009. [ bib | DOI | http | .pdf ] |
| [13] | P. Widera, J.M. Garibaldi, and N. Krasnogor. Evolutionary design of the energy function for protein structure prediction. In Proceedings of the 2009 Congress on Evolutionary Computation, pages 1305 - 1312. IEEE, 2009. [ bib | DOI | http | .pdf ] |
| [14] | F. Romero-Campero, H.Cao, M. Camara, and N. Krasnogor. Structure and parameter estimation for cell systems biology models. In Maarten Keijzer et.al, editor, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2008), pages 331-338. ACM Publisher, 2008. This paper won the Best Paper award at the Bioinformatics track. [ bib | .pdf ] |
| [15] | J. Smaldon, J. Blake, D. Lancet, and N. Krasnogor. A multi-scaled approach to artificial life simulation with p systems and dissipative particle dynamics. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2008), pages 249-256. ACM, 2008. [ bib | http | .pdf ] |
| [16] | V. Cutello, N. Krasnogor, G. Nicosia, and M. Pavone. Immune algorithm versus differential evolution: a comparative case study using high dimensional function optimization. In Int. Conf. on Adaptive and Natural Computing Algorithms, ICANNGA 2007. LNCS, pages 93-101. Springer, 2007. [ bib | DOI | .pdf ] |
| [17] | J. Bacardit, M. Stout, J.D. Hirst, K. Sastry, X. Llora, and N. Krasnogor. Automated alphabet reduction method with evolutionary algorithms for protein structure prediction. In Proceedings of the 2007 Genetic and Evolutionary Computation Conference, number ISBN 978-1-59593-697-4, pages 346-353. ACM Press, 2007. This paper won the Bronze Medal in the THE 2007 “HUMIES” AWARDS FOR HUMAN-COMPETITIVE RESULTS PRODUCED BY GENETIC AND EVOLUTIONARY COMPUTATION. [ bib | DOI | .pdf ] |
| [18] | Q. H. Nguyen, Y. S. Ong, M. H. Lim, and N. Krasnogor. A study on the design issues of memetic algorithm. In Proceedings of the 2007 IEEE Congress on Evolutionary Computation, pages 2390-2397. IEEE, 2007. [ bib | .pdf ] |
| [19] | A.A. Shah, D. Barthel, and N. Krasnogor. Grid and distributed public computing schemes for structural proteomics: a short overiew. In P. Thulasiraman, X. He, T. Li-Xu, M. Denko, R.K. Thulasiram, and L.T. Yang, editors, Proceedings of the 5th International Symposium on Parallel and Distributed Processing and Applications (ISPA 2007) and HiPComB-103. Lecture Notes in Computer Science, volume 4743/2007 of Lecture Notes in Computer Science, pages 424-434. Springer, 2007. [ bib | DOI ] |
| [20] | G. Terrazas, M. Gheorghe, G. Kendall, and N. Krasnogor. Evolving tiles for automated self-assembly design. In Proceedings for the 2007 IEEE Congress on Evolutionary Computation, pages 2001-2008. IEEE, 2007. This paper won *both* the best student paper award and the conference best paper award at IEEE Congress on Evolutionary Computation 2007. [ bib | .pdf ] |
| [21] | M. Stout, J. Bacardit, J.D. Hirst, J. Blacewicz, and N. Krasnogor. Prediction of residue exposure and contact number for simplified hp lattice model proteins using learning classifier systems. In Proceedings of the 7th International FLINS Conference on Applied Artificial Intelligence, pages 601-608. World Scientific, August 2006. [ bib | .pdf ] |
| [22] | J. Bacardit and N. Krasnogor. Smart crossover operator with multiple parents for a pittsburgh learning classifier system. In Proceedings of the 2006 Genetic and Evolutionary Computation Conference (GECCO), pages 1441 - 1448. ACM Press New York, NY, USA, July 2006. ISBN 1-59593-186-4. [ bib | DOI | http ] |
| [23] | M. Stout, J. Bacardit, J.D. Hirst, N. Krasnogor, and J. Blazewicz. From hp lattice models to real proteins: coordination number prediction using learning classifier systems. In 4th European Workshop on Evolutionary Computation and Machine Learning in Bioinformatics, volume 3907 of Springer Lecture Notes in Computer Science, page 208–220, Budapest, Hungary, April 2006. Springer. ISBN 978-3-540-33237-4. [ bib | .pdf ] |
| [24] | J. Bacardit, M. Stout, J.D. Hirst, J. Blazewicz, and N. Krasnogor. Coordination number prediction using learning classifier systems: performance and interpretability. In Proceedings of the 2006 Genetic and Evolutionary Computation Conference (GECCO), pages 247 - 254. ACM Press New York, NY, USA, 2006. ISBN 1-59593-186-4. [ bib | DOI | http ] |
| [25] | D. Barthel, J.D. Hirst, J. Blacewicz, and N.Krasnogor. Procksi: a metaserver for protein comparison using kolmogorov and other similarity measures. In Late Breaking Papers. European Conference on Computational Biology, 2006. Eilat, Israel, 2006. Peer reviewed CDROM publication. [ bib | .pdf ] |
| [26] | L. Bianco, D. Pescini, P. Siepman, N. Krasnogor, F.J. Romero-Campero, and M. Gheorghe. Towards a p systems pseudomonas quorum sensing model. In G. Paun, editor, Proceedings of the 7th International Workshop on Membrane Computing (WMC 7). Lecture Notes in Computer Science, volume Volume 4361/2006, pages 197-214. Springer, 2006. [ bib | DOI | http ] |
| [27] | L. Li, J. Garibaldi, and N.Krasnogor. Automated self-assembly programming paradigm: initial investigation. In Proceedings of the Third IEEE International Workshop on Engineering of Autonomic and Autonomous Systems, 2006. EASe 2006., pages 25-36. IEEE, 2006. ISBN 0-7695-2544-X. [ bib | .pdf ] |
| [28] | P.Siepman, G.Terrazas, and N. Krasnogor. Evolutionary design for the behaviour of cellular automata-based complex systems. In 7th International Conference of Adaptive Computing in Design and Manufacture, pages 199-208, 2006. [ bib | .pdf ] |
| [29] | F. Bernardini, M. Gheorghe, N. Krasnogor, and J.L. Giavitto. On self-assembly in population p systems. In Unconventional Computation, Springer Lecture Notes in Computer Science, pages 46-57, Sevilla, Spain, October 2005. Springer. [ bib | .pdf ] |
| [30] | N. Krasnogor, G. Terrazas, D.A. Pelta, and G. Ochoa. A critical view of the evolutionary design of self-assembling systems. In Proceedings of the 2005 Conference on Artificial Evolution, volume 3871 of Springer Lecture Notes in Computer Science, pages 179-188, Lille, France, October 2005. Springer. ISBN 3-540-33589-7. [ bib | DOI | .pdf ] |
| [31] | G. Ochoa, G. Escuela, and N. Krasnogor. Incorporating knowledge of secondary structures in a l-system-based encoding for protein folding. In Proceedings of the 2005 Conference on Artificial Evolution, volume 3871 of Springer Lecture Notes in Computer Science, pages 247-258, Lille, France, October 2005. Springer. ISBN 3-540-33589-7. [ bib | http ] |
| [32] | C. Bousono-Calzon, A. Oropesa-Garcia, and N. Krasnogor. Selecting protein fuzzy contact maps through information and structure measures. In Fourth Conference of the European Society for Fuzzy Logic and Technology and 11 Recontres Francophones sur la Logique Floue et ses Applications, pages 1106-1111, Barcelona, Spain, September 2005. EUSFLAT-LFA. [ bib | .pdf ] |
| [33] | S. Gustafson, E.K. Burke, and N. Krasnogor. On improving genetic programming for symbolic regression. In IEEE Congress on Evolutionary Computation, volume 1, pages 912 - 919. CEC, IEEE, September 2005. [ bib | http ] |
| [34] | D.A. Pelta, J.R. Gonzales, and N.Krasnogor. Protein structure comparison through fuzzy contact maps and the universal similarity metric. In Fourth Conference of the European Society for Fuzzy Logic and Technology and 11 Recontres Francophones sur la Logique Floue et ses Applications, pages 1124-1129, Barcelona, Spain, September 2005. EUSFLAT-LFA. [ bib | .pdf ] |
| [35] | G. Terrazas, N. Krasnogor, G. Kendall, and M. Gheorghe. Automated tile design for self-assembly conformations. In IEEE Congress on Evolutionary Computation, volume 2, pages 1808 - 1814. CEC, IEEE, September 2005. [ bib | .pdf ] |
| [36] | F. Bernardini, M. Gheorghe, N. Krasnogor, and G. Terrazas. Membrane computing - current results and future problems. In B. Cooper, B. Lowe, and L. Torenvliet, editors, Computability in Europe, volume 3526 of Springer Lecture Notes in Computer Science, pages 49-53, Amsterdam, The Netherlands, June 2005. Springer-Verlag. [ bib | .pdf ] |
| [37] | G. Terrazas, N. Krasnogor, M. Georghe, F. Bernardini, S. Diggle, and M. Camara. An environment aware p-systems model of quorum sensing. In B. Cooper, B. Lowe, and L. Torenvliet, editors, Computability in Europe, volume 3526 of Springer Lecture Notes in Computer Science, pages 479-485, Amsterdam, The Netherlands, June 2005. CiE, Springer-Verlag. [ bib | .pdf ] |
| [38] | N. Krasnogor and S. Gustafson. A family of conceptual problems in the automated design of systems self-assembly. In 2nd Annual Conference on Foundations of Nanoscience: Self-Assembled Architectures and Devives, Utah, USA, April 2005. FNANO, Sciencetechnica. [ bib | .ps | .pdf ] |
| [39] | G. Escuela, G. Ochoa, and N. Krasnogor. Evolving l-systems to capture protein structure native conformations. In Pierre Collet-Jano van Hemert-Marco Tomassini Maarten Keijzer, Andrea Tettamanzi, editor, 8th European Conference on Genetic Programming, volume 3447 of Springer Lecture Notes in Computer Science, pages 73-83, Lausanne, Switzerland, March, April 2005. EuroGP, Springer Berlin Heidelberg. ISBN 978-3-540-25436-2. Nominated for Best Paper Award. [ bib | .pdf ] |
| [40] | S. Gustafson, E.K. Burke, and N. Krasnogor. The tree-string problem: An artificial domain for structure and content search. In Pierre Collet-Jano van Hemert-Marco Tomassini Maarten Keijzer, Andrea Tettamanzi, editor, 8th European Conference on Genetic Programming, volume 3447 of Springer Lecture Notes in Computer Science, Lausanne, Switzerland, March, April 2005. EuroGP, Springer Berlin Heidelberg. ISBN 978-3-540-25436-2. [ bib | .pdf ] |
| [41] | F. Bernardini, F.J. Romero-Campero, M. Gheorghe, M.J. Perez-Jimenez, M. Margenstern, S. Verlan, and N. Krasnogor. On p systems with bounded parallelism. In Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2005. SYNASC 2005, pages 399-406. IEEE Computer Society, 2005. [ bib | DOI ] |
| [42] | N. Krasnogor and S. Gustafson. La busqueda local como proveedora de bloques constructivos en algoritmos memeticos auto-generados. In Tercer Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, Cordoba, Spain, February 2004. [ bib | .pdf ] |
| [43] | M. Lozano, F.Herrera, N. Krasnogor, and D. Molina. Algoritmos memeticos con codificacion real con tecnicas de ascension de colinas basadas en el cruce. In Tercer Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, Cordoba, Spain, February 2004. [ bib | .ps ] |
| [44] | N. Krasnogor, D.A. Pelta, and J.L. Verdegay. Bringing smart adaptive systems to the optimisation arena. In European Network on Intelligent Technologies for Smart Adaptive Systems, 2004. [ bib | http ] |
| [45] | E. Burke, S. Gustafson, G. Kendall, and N. Krasnogor. Is increased diversity beneficial in genetic programming: An analysis of the effects on fitness. In IEEE Congress on Evolutionary Computation, pages 1398-1405. CEC, IEEE, December 2003. [ bib | .pdf ] |
| [46] | E.K. Burke, S. Gustafson, G. Kendall, and N. Krasnogor. Advanced population diversity measures in genetic programming. In H.-G. Beyer J.-L. Fernández-Villacañas H.-P. Schwefel J.J. Merelo Guervós, P. Adamidis, editor, 7th International Conference Parallel Problem Solving from Nature, volume 2439 of Springer Lecture Notes in Computer Science, pages 341-350, Granada, Spain, September 2002. PPSN, Springer Berlin / Heidelberg. ISBN 3-540-44139-5. [ bib | .pdf ] |
| [47] | N. Krasnogor, B. Blackburnem, J.D. Hirst, and E.K. Burke. Multimeme algorithms for protein structure prediction. In H.-G. Beyer J.-L. Fernández-Villacañas H.-P. Schwefel J.J. Merelo Guervós, P. Adamidis, editor, 7th International Conference Parallel Problem Solving from Nature, volume 2439 of Springer Lecture Notes in Computer Science, pages 769-778, Granada, Spain, September 2002. PPSN, Springer Berlin / Heidelberg. ISBN 3-540-44139-5. [ bib | .pdf ] |
| [48] | R.D. Carr, W.E. Hart, N. Krasnogor, J.D. Hirst, and E.K. Burke. Alignment of protein structures with a memetic evolutionary algorithm. In W. B. Langdon, E. Cantu-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A. C. Schultz, J. F. Miller, E. Burke, and N. Jonoska, editors, GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1027-1034, New York, USA, July 2002. GECCO, Morgan Kaufmann Publishers. [ bib | .pdf ] |
| [49] | N. Krasnogor and J. Smith. Emergence of profitable search strategies based on a simple inheritance mechanism. In E. Goodman A. Wu-W.B. Langdon H.-M. Voigt-M. Gen-S. Sen M. Dorigo S. Pezeshk M. Garzon Spector, L. and E. Burke, editors, International Genetic and Evolutionary Computation Conference (GECCO2001), pages 432-439, San Francisco, CA, 2001. Morgan Kaufmann Publishers. [ bib | .pdf ] |
| [50] | D. Pelta, N. Krasnogor, A. Blanco Moron, and J.L. Verdegay. Fuzzy adaptive neighborhood search for the protein folding problem: Comparing encodings and search modes. In 4th Metaheuristics International Conference, MIC 2001, volume 1, pages 327-331, 2001. [ bib | .pdf ] |
| [51] | N. Krasnogor and J. Smith. A memetic algorithm with self-adaptive local search: Tsp as a case study. In Cantu-Paz Spector Parmee Whitley, Goldberg and Beyer, editors, International Genetic and Evolutionary Computation Conference (GECCO2000), pages 987-994. Morgan Kaufmann, 2000. This paper won the ACM SIGEVO 2010 ten years IMPACT award. [ bib | .pdf ] |
| [52] | N. Krasnogor, W.E. Hart, J. Smith, and D. Pelta. Protein structure prediction with evolutionary algorithms. In Eiben Garzon Honovar Jakiela Banzhaf, Daida and Smith, editors, International Genetic and Evolutionary Computation Conference (GECCO99), pages 1569-1601. Morgan Kaufmann, 1999. [ bib | .pdf ] |
| [53] | E. de la Canal, N. Krasnogor, D.H. Marcos, D. Pelta, and W.A. Risi. Encoding and crossover mismatch in a molecular design problem. In P. Bentley, editor, Artificial Intelligence in Design, pages 22-27. Instituto Superior Tecnico, Lisboa, Portugal, 1998. [ bib | .pdf ] |
| [54] | N. Krasnogor, D.H. Marcos, D. Pelta, and W.A. Risi. Protein structure prediction as a complex adaptive system. In Cezary Janikow, editor, Frontiers in Evolutionary Algorithms, pages 441-447, 1998. [ bib | .pdf ] |
| [55] | N. Krasnogor, D. Pelta, P. E. Martinez Lopez, and E. de la Canal. Genetic algorithms for the protein folding problem: a critical view. In C. Fyfe and E. Alpaydin, editors, Engineering of Intelligent Systems, pages 353-360. ICSC Academic Press, 1998. [ bib | .pdf ] |
| [56] | N. Krasnogor, D. Pelta, P. E. Martinez Lopez, P. Mocciola, and E. de la Canal. Enhanced evolutionary search of foldings using parsed proteins. In Argentinian Operational Research Simposium. Sociedad Argentina de Investigacion Operative, 1997. [ bib | .pdf ] |
| [57] | N. Krasnogor, D. Pelta, P.E. Martinez Lopez, and P. Mocciola. A functional programming approach to a computational biology problem. In Latin American Conference on Functional Programming, 1997. [ bib | .pdf ] |
| [58] | P. Moscato and N. Krasnogor. A new hybrid heuristic for large geometric travelling salesman problems based on the delaunay triangulation. In XXVII Simposio Brasileiro de Pesquisa Operacional, pages 772-776, 1995. [ bib | .pdf ] |
| [59] | P. Moscato and N. Krasnogor. Semidynamic point set for polynomial time learning. In VII Latin American Conference on Operational Research, July 1994. [ bib | .PS ] |
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