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Using crossover based similarity measure to improve genetic programming generalization ability.

, and . GECCO, page 1139-1146. ACM, (2009)

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Layered learning in genetic programming for a co-operative robot soccer problem. Kansas State University, Manhattan, KS, USA, (December 2000)Genetic Programming And Multi-agent Layered Learning By Reinforcements., and . GECCO, page 764-771. Morgan Kaufmann, (2002)Genetic Programming and Evolvable Machines: Five Years of Reviews., and . Genet. Program. Evolvable Mach., 6 (2): 221-228 (2005)Genetic Programming and Evolvable Machines: ten years of reviews., and . Genet. Program. Evolvable Mach., 11 (3-4): 321-338 (2010)An analysis of diversity in genetic programming.. University of Nottingham, UK, (2004)British Library, EThOS.Semantics for Big Data access & integration: Improving industrial equipment design through increased data usability., , , , , , and . IEEE BigData, page 1103-1112. IEEE Computer Society, (2015)Using crossover based similarity measure to improve genetic programming generalization ability., and . GECCO, page 1139-1146. ACM, (2009)A machine learning approach to quantifying noise in medical images., , , , and . Digital Pathology, volume 9791 of SPIE Proceedings, page 97910U. SPIE, (2016)Is increased diversity in genetic programming beneficial? An analysis of lineage selection., , , and . IEEE Congress on Evolutionary Computation, page 1398-1405. IEEE, (2003)Genetic Algorithms for Reformulation of Large-Scale KDD Problems with Many Irrelevant Attributes., , , and . GECCO, page 1081. Morgan Kaufmann, (2000)