Enhancing the Performance of GP Using an
Ancestry-Based Mate Selection Scheme
R. Fry, и A. Tyrrell. Genetic and Evolutionary Computation -- GECCO-2003, том 2724 из LNCS, стр. 1804--1805. Chicago, Springer-Verlag, (12-16 July 2003)
Аннотация
The performance of genetic programming relies mostly
on population-contained variation. If the population
diversity is low then there will be a greater chance of
the algorithm being unable to find the global optimum.
We present a new method of approximating the genetic
similarity between two individuals using ancestry
information. We define a new diversity-preserving
selection scheme, based on standard tournament
selection, which encourages genetically dissimilar
individuals to undergo genetic operation. The new
method is illustrated by assessing its performance in a
well-known problem domain: algebraic symbolic
regression.
Genetic and Evolutionary Computation -- GECCO-2003
год
2003
месяц
12-16 July
страницы
1804--1805
издательство
Springer-Verlag
серии
LNCS
том
2724
publisher_address
Berlin
isbn
3-540-40603-4
notes
GECCO-2003. A joint meeting of the twelfth
International Conference on Genetic Algorithms
(ICGA-2003) and the eighth Annual Genetic Programming
Conference (GP-2003)
%0 Conference Paper
%1 fry:2003:gecco
%A Fry, Rodney
%A Tyrrell, Andy
%B Genetic and Evolutionary Computation -- GECCO-2003
%C Chicago
%D 2003
%E Cantú-Paz, E.
%E Foster, J. A.
%E Deb, K.
%E Davis, D.
%E Roy, R.
%E O'Reilly, U.-M.
%E Beyer, H.-G.
%E Standish, R.
%E Kendall, G.
%E Wilson, S.
%E Harman, M.
%E Wegener, J.
%E Dasgupta, D.
%E Potter, M. A.
%E Schultz, A. C.
%E Dowsland, K.
%E Jonoska, N.
%E Miller, J.
%I Springer-Verlag
%K algorithms, genetic poster programming,
%P 1804--1805
%T Enhancing the Performance of GP Using an
Ancestry-Based Mate Selection Scheme
%V 2724
%X The performance of genetic programming relies mostly
on population-contained variation. If the population
diversity is low then there will be a greater chance of
the algorithm being unable to find the global optimum.
We present a new method of approximating the genetic
similarity between two individuals using ancestry
information. We define a new diversity-preserving
selection scheme, based on standard tournament
selection, which encourages genetically dissimilar
individuals to undergo genetic operation. The new
method is illustrated by assessing its performance in a
well-known problem domain: algebraic symbolic
regression.
%@ 3-540-40603-4
@inproceedings{fry:2003:gecco,
abstract = {The performance of genetic programming relies mostly
on population-contained variation. If the population
diversity is low then there will be a greater chance of
the algorithm being unable to find the global optimum.
We present a new method of approximating the genetic
similarity between two individuals using ancestry
information. We define a new diversity-preserving
selection scheme, based on standard tournament
selection, which encourages genetically dissimilar
individuals to undergo genetic operation. The new
method is illustrated by assessing its performance in a
well-known problem domain: algebraic symbolic
regression.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {Chicago},
author = {Fry, Rodney and Tyrrell, Andy},
biburl = {https://www.bibsonomy.org/bibtex/256c893bae55d4790a8018f14c429d09f/brazovayeye},
booktitle = {Genetic and Evolutionary Computation -- GECCO-2003},
editor = {Cant{\'u}-Paz, E. and Foster, J. A. and Deb, K. and Davis, D. and Roy, R. and O'Reilly, U.-M. and Beyer, H.-G. and Standish, R. and Kendall, G. and Wilson, S. and Harman, M. and Wegener, J. and Dasgupta, D. and Potter, M. A. and Schultz, A. C. and Dowsland, K. and Jonoska, N. and Miller, J.},
interhash = {fa2f00ef9e6a0e8f0d1194b787c50317},
intrahash = {56c893bae55d4790a8018f14c429d09f},
isbn = {3-540-40603-4},
keywords = {algorithms, genetic poster programming,},
month = {12-16 July},
notes = {GECCO-2003. A joint meeting of the twelfth
International Conference on Genetic Algorithms
(ICGA-2003) and the eighth Annual Genetic Programming
Conference (GP-2003)},
pages = {1804--1805},
publisher = {Springer-Verlag},
publisher_address = {Berlin},
series = {LNCS},
timestamp = {2008-06-19T17:39:52.000+0200},
title = {Enhancing the Performance of {GP} Using an
Ancestry-Based Mate Selection Scheme},
volume = 2724,
year = 2003
}