- author = "Manuel Clergue and Philippe Collard and Marco Tomassini and Leonardo Vanneschi",
- title = "Fitness Distance Correlation And Problem Difficulty For 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 = "724--732",
- address = "New York",
- publisher_address = "San Francisco, CA 94104, USA",
- month = "9-13 " # jul,
- publisher = "Morgan Kaufmann Publishers",
- keywords = "genetic algorithms, genetic programming, distance between genotypes, fitness distance correlation, problem difficulty, royal trees, trap functions",
- ISBN = "1-55860-878-8",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco2002/GP072.ps",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco2002/GP072.pdf",
-
URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.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)
Nominated for best at GECCO award.
Fitness landscape.",
