- author = "Leonardo Vanneschi and Sebastien Verel",
- title = "Fitness landscapes and problem hardness in evolutionary computation",
- booktitle = "Genetic and Evolutionary Computation Conference {(GECCO2007)} tutorial presentations",
- year = "2007",
- month = "7-11 " # jul,
- editor = "Aniko Ekart",
- isbn13 = "978-1-59593-698-1",
- pages = "3690--3733",
- address = "London, United Kingdom",
- keywords = "genetic algorithms, genetic programming, evolutionary algorithm, fitness landscape, problem Hardness",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p3690.pdf",
-
DOI = "
doi:10.1145/1274000.1274130",
-
URL = "http://www-lisic.univ-littoral.fr/~verel/talks/Intro-PART2-Vanneschi.pdf",
- publisher = "ACM Press",
- publisher_address = "New York, NY, USA",
-
notes = "Intro-PART2-Vanneschi.pdf are GP theory slides:
Fitness Distance Correlation (fdc). Structural Distance
\cite{ekart:2002:EuroGP}: Structural Mutation Genetic
Programming (SMGP).
Negative Slope Coefficient (nsc). Fitness cloud. nsc: Even Parity Problem and Artificial Ant on the Santa Fe Trail, \cite{1277209} GECCO-2007, page 1341 'negative slope coefficient is an empirical measure of problem hardness based the analysis of offspring-fitness vs. parent-fitness scatterplots'.
Crossover \cite{eurogp:GustafsonV05} SCD pseudo-distance
Distributed on CD-ROM at GECCO-2007 ACM Order No. 910071",
