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

, и . GECCO, стр. 1139-1146. ACM, (2009)

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Sean Gustafson

Joakim Gustafson

Carl Gustafson

Olinkha Gustafson-Pearce

Adolf Steven

 

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