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Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements.

, , и . Parameter Setting in Evolutionary Algorithms, том 54 из Studies in Computational Intelligence, Springer, (2007)

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David Goldberg

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Probabilistic model building and competent genetic programming, , , и . Genetic Programming Theory and Practise, chapter 13, стр. 205--220. Kluwer, (2003)Quality and efficiency of model building for genetic algorithms, , , и . Proceedings of Genetic and Evolutionary Computation Conference 2004 (GECCO-2004, (2004)A Survey of Optimization by Building and Using Probabilistic Models, , , , , и . Computational Optimization and Applications, (1999)Modeling XCS in class imbalances: population size and parameter settings., , , и . GECCO, стр. 1838-1845. ACM, (2007)Classifier prediction based on tile coding., , , и . GECCO, стр. 1497-1504. ACM, (2006)Ordering Genetic Algorithms and Deception., , и . PPSN, стр. 49-58. Elsevier, (1992)Time Complexity of genetic algorithms on exponentially scaled problems., , и . GECCO, стр. 151-158. Morgan Kaufmann, (2000)Search space boundary extension method in real-coded genetic algorithms., и . Inf. Sci., 133 (3-4): 229-247 (2001)Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances., и . GECCO, стр. 528-535. Morgan Kaufmann, (2002)Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values., и . GECCO, стр. 536-543. Morgan Kaufmann, (2002)