[1] | G. Terrazas and N. Krasnogor. Nature Inspired Cooperative Strategies for Optimisation, volume 387 of Studies in Computational Intelligence, chapter Genotype-Fitness Correlation Analysis for Evolutionary Design of Self-Assembly Wang Tiles, pages 73-83. Springer, 2011. [ bib | http | .pdf ] |
[2] | P. Cazzaniga, M. Gheorghe, N. Krasnogor, G. Mauri, D. Pescini, and F.J. Romero-Campero. The Oxford Handbook of Membrane Computing, chapter Probabilistic/stochastic models. Oxford Handbooks in Mathematics. Oxford University Press, 2010. [ bib | http ] |
[3] | N. Krasnogor. Handbook of Natural Computation, chapter Memetic Algorithms, page (to appear). Natural Computing. Springer Berlin / Heidelberg, 2009. [ bib | .pdf ] |
[4] | J. Bacardit, M. Stout, J.D. Hirst, and N. Krasnogor. Learning Classifier Systems in Data Mining, volume 25/2008 of Studies in Computational Intelligence, chapter Data Mining in Proteomics with Learning Classifier Systems, pages 17-46. Springer Berlin / Heidelberg, 2008. [ bib | DOI | http ] |
[5] | L. Li, P. Siepmann, J. Smaldon, G. Terrazas, and N. Krasnogor. Systems Self-Assembly: Multi-Disciplinary Snapshops, chapter Automated Self-Assembling Programming, page (to appear). Studies in Multidisciplinarity. Elsevier, 2007. [ bib ] |
[6] | F. Bernardini, M. Gheorghe, N. Krasnogor, and G. Paun. Nanotechnology: Science and Computation, chapter Turing machines with cells on the tape, pages 335-348. Natural Computing Series. Springer Berlin Heidelberg, 2006. [ bib | DOI ] |
[7] | N. Krasnogor, A. Aragon, and J. Pacheco. Metaheuristics in Neural Networks Learning, volume 35 of Operations Research/Computer Science Interfaces Series, chapter Memetic Algorithms, pages 225-247. Springer, 2006. [ bib | http | .pdf ] |
[8] | W.E. Hart, N. Krasnogor, and J.E. Smith. Recent Advances in Memetic Algorithms, volume 166 of Studies in Fuzziness and Soft Computing, chapter Memetic Evolutionary Algorithms, pages 3-27. Springer Berlin Heidelberg New York, 2004. [ bib | http | .pdf ] |
[9] | N. Krasnogor. Recent Advances in Memetic Algorithms, volume 166 of Studies in Fuzziness and Soft Computing, chapter Towards robust memetic algorithms, pages 185-207. Springer Berlin Heidelberg New York, 2004. [ bib | http | .pdf ] |
[10] | N. Krasnogor and S. Gustafson. Recent Advances in Memetic Algorithms, volume 166 of Studies in Fuzziness and Soft Computing, chapter Self-Assembling of Local Searchers in Memetic Algorithms, pages 229-257. Springer Berlin Heidelberg New York, 2004. [ bib | http | .pdf ] |
[11] | D.A. Pelta and N. Krasnogor. Recent Advances in Memetic Algorithms, volume 166 of Studies in Fuzziness and Soft Computing, chapter Multimeme Algorithms Using Fuzzy Logic Based Memes For Protein Structure Prediction, pages 49-54. Springer Berlin Heidelberg New York, 2004. [ bib | http | .pdf ] |
[12] | N. Krasnogor and D. A. Pelta. Fuzzy Sets based Heuristics for Optimization, volume 126 of Studies in Fuzziness and Soft Computing, chapter Fuzzy Memes in Multimeme Algorithms: a Fuzzy-Evolutionary Hybrid, pages 49-66. Springer-Verlag Berling Heidelberg New York, 2002. [ bib | .pdf ] |
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