Measuring Mutation Operators' Exploration-Exploitation Behaviour and Long-Term Biases
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{mcdermott:2014:EuroGP,
-
author = "James McDermott",
-
title = "Measuring Mutation Operators' Exploration-Exploitation
Behaviour and Long-Term Biases",
-
booktitle = "17th European Conference on Genetic Programming",
-
year = "2014",
-
editor = "Miguel Nicolau and Krzysztof Krawiec and
Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and
Juan J. Merelo and Victor M. {Rivas Santos} and
Kevin Sim",
-
series = "LNCS",
-
volume = "8599",
-
publisher = "Springer",
-
pages = "100--111",
-
address = "Granada, Spain",
-
month = "23-25 " # apr,
-
organisation = "EvoStar",
-
keywords = "genetic algorithms, genetic programming",
-
isbn13 = "978-3-662-44302-6",
-
DOI = "doi:10.1007/978-3-662-44303-3_9",
-
abstract = "We propose a simple method of directly measuring a
mutation operator's short-term exploration-exploitation
behaviour, based on its transition matrix. Higher
values for this measure indicate a more exploitative
operator. Since operators also differ in their degree
of long-term bias towards particular areas of the
search space, we propose a simple method of directly
measuring this bias, based on the Markov chain
stationary state. We use these measures to compare
numerically the behaviours of two well-known mutation
operators, the genetic algorithm per-gene bitflip
mutation and the genetic programming subtree
mutation.",
-
notes = "Part of \cite{Nicolau:2014:GP} EuroGP'2014 held in
conjunction with EvoCOP2014, EvoBIO2014, EvoMusArt2014
and EvoApplications2014",
- }
Genetic Programming entries for
James McDermott
Citations