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A Distance Between Populations for n-Points Crossover in Genetic Algorithms., , , and . CoRR, (2017)Geometric Semantic Genetic Programming for Real Life Applications., , , and . GPTP, page 191-209. Springer, (2013)Negative Slope Coefficient. A Measure to Characterize Genetic Programming, , , and . Proceedings of the 9th European Conference on Genetic Programming, volume 3905 of Lecture Notes in Computer Science, page 178--189. Budapest, Hungary, Springer, (10 - 12 April 2006)Theory and Practice for Efficient Genetic Programming. Faculty of Sciences, University of Lausanne, Switzerland, (2004)A study of search algorithms' optimization speed., , and . J. Comb. Optim., 27 (2): 256-270 (2014)Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms., and . GECCO, page 1335-1342. ACM, (2007)A Study of Some Implications of the No Free Lunch Theorem., and . EvoWorkshops, volume 4974 of Lecture Notes in Computer Science, page 633-642. Springer, (2008)Multi-optimization improves genetic programming generalization ability., , and . GECCO, page 1759. ACM, (2007)A Survey of Problem Difficulty in Genetic Programming., , , and . AI*IA, volume 3673 of Lecture Notes in Computer Science, page 66-77. Springer, (2005)The effect of selection from old populations in genetic algorithms., , and . GECCO (Companion), page 161-162. ACM, (2011)