- author = "James McDermott and Una-May 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 = "27-29 " # 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 = "190--202",
- organisation = "EvoStar",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-3-642-20406-7",
-
DOI = "
doi:10.1007/978-3-642-20407-4_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 operator-distance coherence. We also propose a new distance function, based on the multi-step transition probability (MSTP), that is coherent with any GP operator for which the one-step 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",
