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Методы построения конечных автоматов на основе ...

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17377. Horihan J., Yung-Hsiang Lu. Improving FSM evolution with progressivefitness functions / GLSVLSI '04: Proceedings of the 14th ACM GreatLakes symposium on VLSI. NY: ACM Press. 2004, pp. 123 − 126.78. Huang D. MS Thesis Preproposal: Adaptive Incremental FitnessEvaluation in Genetic Algorithms. 2005. NY: Rochester.http://www.cs.rit.edu/~dxh6185/downloads/MS_Thesis/Documents/Presentation.pdf79. Jefferson D., Collins R., Cooper C., Dyer M., Flowers M., Korf R., TaylorC., Wang A. The Genesys System: Evolution as a Theme in Artificial Life/Proceedings of Second Conference on Artificial Life. MA: Addison-Wesley. 1992, pp. 549 – 578.www.cs.ucla.edu/~dyer/Papers/AlifeTracker/Alife91Jefferson.html80. Johnson C. Genetic Programming with Fitness based on Model Checking.Lecture Notes in Computer Science. Springer Berlin / Heidelberg. 2007.Volume 4445/2007, pp. 114 – 124.81. Juillie H., Pollack J. Coevolving the «Ideal» Trainer: Application to theDiscovery of Cellular Automata Rules. 1998.http://citeseer.ist.psu.edu/16712.html82. Kennedy J., Eberhart R. C. Swarm Intelligence. Morgan Kaufmann. 2001.83. Kirsopp C., Shepperd M., Hart J. Search heuristic, case-based reasoningand software project effort prediction / GECCO 2002: Proceedings of theGenetic and Evolutionary Computation Conference. NY: 2002, pp. 1367 –1374.84. Koza J. Genetic programming. On the Programming of Computers byMeans of Natural Selection. MA: The MIT Press, 1998.85. Koza J. Genetic Evolution and Co-Evolution of Computer Programs /Proceedings of Second Conference on Artificial Life. Redwood City, CA:Addison-Wesley. 1992. pp. 603 − 629. http://citeseer.ist.psu.edu/177879.html

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