- author = "Leonardo Vanneschi and Steven Gustafson and Giancarlo Mauri",
- title = "Using Subtree Crossover Distance to Investigate Genetic Programming Dynamics",
- editor = "Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art",
- booktitle = "Proceedings of the 9th European Conference on Genetic Programming",
- publisher = "Springer",
- series = "Lecture Notes in Computer Science",
- volume = "3905",
- year = "2006",
- address = "Budapest, Hungary",
- month = "10 - 12 " # apr,
- organisation = "EvoNet",
- keywords = "genetic algorithms, genetic programming",
- ISBN = "3-540-33143-3",
- pages = "238--249",
-
URL = "
http://www.gustafsonresearch.com/research/publications/eurogp-2006.pdf",
-
DOI = "
doi:10.1007/11729976_21",
- bibsource = "DBLP, http://dblp.uni-trier.de",
- abstract = "To analyse various properties of the search process of genetic programming it is useful to quantify the distance between two individuals. Using operator-based distance measures can make this analysis more accurate and reliable than using distance measures which have no relationship with the genetic operators. This paper extends a recent definition of a distance measure based on subtree crossover for genetic programming. Empirical studies are presented that show the suitability of this measure to dynamically calculate the fitness distance correlation coefficient during the evolution, to construct a fitness sharing system for genetic programming and to measure genotypic diversity in the population. These experiments confirm the accuracy of the new measure and its consistency with the subtree crossover genetic operator.",
-
notes = "Part of \cite{collet:2006:GP} EuroGP'2006 held in
conjunction with EvoCOP2006 and EvoWorkshops2006
Not a distance metric. Fitness sharing",
