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A Note on Problem Difficulty Measures in Black-Box Optimization: Classification, Realizations and Predictability.

J. He, C. Reeves, C. Witt, и X. Yao. Evol. Comput., 15 (4): 435-443 (2007)

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Bias Estimation for Neural Network Predictions.C. Reeves. ICANNGA, стр. 242-244. Springer, (1995)An Experimental Design Perspective on Genetic Algorithms.C. Reeves, и C. Wright. FOGA, стр. 7-22. Morgan Kaufmann, (1994)Genetic Algorithms versus Experimental Methods: A Case Study.C. Reeves, и C. Wright. ICGA, стр. 214-220. Morgan Kaufmann, (1997)Are Long Path Problems Hard for Genetic Algorithms?C. Höhn, и C. Reeves. PPSN, том 1141 из Lecture Notes in Computer Science, стр. 134-143. Springer, (1996)Fitness Landscapes and Evolutionary Algorithms.C. Reeves. Artificial Evolution, том 1829 из Lecture Notes in Computer Science, стр. 3-20. Springer, (1999)Selection of Training Data for Neural Networks by a Genetic Algorithm.C. Reeves, и S. Taylor. PPSN, том 1498 из Lecture Notes in Computer Science, стр. 633-642. Springer, (1998)Genetic Algorithms for the Operations Researcher.C. Reeves. INFORMS J. Comput., 9 (3): 231-250 (1997)Training Set Selection in Neural Network Applications.C. Reeves. ICANNGA, стр. 476-478. Springer, (1995)Multiple Evolution and Concurrent Engineering Design.K. Chao, R. Anane, P. Norman, C. Tsai, и C. Reeves. CSCWD, стр. 107-111. IEEE, (2002)A genetic algorithm for flowshop sequencing.C. Reeves. Comput. Oper. Res., 22 (1): 5-13 (1995)