How Statistics Can Help In Limiting The Number Of Fitness Cases In Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{giacobini:2002:gecco,

• author = "Mario Giacobini and Marco Tomassini and Leonardo Vanneschi",
• title = "How Statistics Can Help In Limiting The Number Of Fitness Cases In Genetic Programming",
• booktitle = "GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference",
• editor = "W. B. Langdon and E. Cant{\'u}-Paz and K. Mathias and R. Roy and D. Davis and R. Poli and K. Balakrishnan and V. Honavar and G. Rudolph and J. Wegener and L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and E. Burke and N. Jonoska",
• year = "2002",
• pages = "889",
• address = "New York",
• publisher_address = "San Francisco, CA 94104, USA",
• month = "9-13 " # jul,
• publisher = "Morgan Kaufmann Publishers",
• keywords = "genetic algorithms, genetic programming, poster paper, entropy, fitness Cases, statistics",
• ISBN = "1-55860-878-8",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2002/GP073.ps",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2002/GP073.pdf",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-15.pdf",
• notes = "GECCO-2002. A joint meeting of the eleventh International Conference on Genetic Algorithms (ICGA-2002) and the seventh Annual Genetic Programming Conference (GP-2002)",

}

Genetic Programming entries for Mario Giacobini Marco Tomassini Leonardo Vanneschi

Citations