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A Study of Some Implications of the No Free Lunch Theorem., и . EvoWorkshops, том 4974 из Lecture Notes in Computer Science, стр. 633-642. Springer, (2008)Multi-optimization improves genetic programming generalization ability., , и . GECCO, стр. 1759. ACM, (2007)A Survey of Problem Difficulty in Genetic Programming., , , и . AI*IA, том 3673 из Lecture Notes in Computer Science, стр. 66-77. Springer, (2005)Prediction of relative position of CT slices using a computational intelligence system., , , и . Appl. Soft Comput., (2016)Towards the use of vector based GP to predict physiological time series., , , , , и . Appl. Soft Comput., (2020)The influence of population size in geometric semantic GP., , , , и . Swarm Evol. Comput., (2017)A new technique for dynamic size populations in genetic programming., , , и . IEEE Congress on Evolutionary Computation, стр. 486-493. IEEE, (2004)The effect of selection from old populations in genetic algorithms., , и . GECCO (Companion), стр. 161-162. ACM, (2011)Theory and Practice for Efficient Genetic Programming. Faculty of Sciences, University of Lausanne, Switzerland, (2004)Negative Slope Coefficient. A Measure to Characterize Genetic Programming, , , и . Proceedings of the 9th European Conference on Genetic Programming, том 3905 из Lecture Notes in Computer Science, стр. 178--189. Budapest, Hungary, Springer, (10 - 12 April 2006)