How Far Is It From Here to There? A Distance that is Coherent with GP Operators
Created by W.Langdon from
gpbibliography.bib Revision:1.4812
 @InProceedings{mcdermott:2011:EuroGP,

author = "James McDermott and UnaMay O'Reilly and
Leonardo Vanneschi and Kalyan Veeramachaneni",

title = "How Far Is It From Here to There? A Distance that is
Coherent with GP Operators",

booktitle = "Proceedings of the 14th European Conference on Genetic
Programming, EuroGP 2011",

year = "2011",

month = "2729 " # apr,

editor = "Sara Silva and James A. Foster and Miguel Nicolau and
Mario Giacobini and Penousal Machado",

series = "LNCS",

volume = "6621",

publisher = "Springer Verlag",

address = "Turin, Italy",

pages = "190202",

organisation = "EvoStar",

keywords = "genetic algorithms, genetic programming",

isbn13 = "9783642204067",

DOI = "doi:10.1007/9783642204074_17",

abstract = "The distance between pairs of individuals is a useful
concept in the study of evolutionary algorithms. It is
particularly useful to define a distance which is
coherent with, i.e. related to, the action of a
particular operator. We present the first formal,
general definition of this operatordistance coherence.
We also propose a new distance function, based on the
multistep transition probability (MSTP), that is
coherent with any GP operator for which the onestep
transition probability (1STP) between individuals can
be defined. We give an algorithm for 1STP in the case
of subtree mutation. Because MSTP is useful in GP
investigations, but impractical to compute, we evaluate
a variety of means to approximate it. We show that some
syntactic distance measures give good approximations,
and attempt to combine them to improve the
approximation using a GP symbolic regression method. We
conclude that 1STP itself is a sufficient indicator of
MSTP for subtree mutation.",

notes = "
Hill climber. x*x+x*y on unit square. 15 syntactic
distances. Cf \cite{blickle:thesis}.
Part of \cite{Silva:2011:GP} EuroGP'2011 held in
conjunction with EvoCOP2011 EvoBIO2011 and
EvoApplications2011",
 }
Genetic Programming entries for
James McDermott
UnaMay O'Reilly
Leonardo Vanneschi
Kalyan Veeramachaneni
Citations