The Holland Broadcast Language and the Modeling of Biochemical Networks
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{eurogp07:Decraene,
-
author = "James Decraene and George G. Mitchell and
Barry McMullin and Ciaran Kelly",
-
title = "The Holland Broadcast Language and the Modeling of
Biochemical Networks",
-
editor = "Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and
Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar",
-
booktitle = "Proceedings of the 10th European Conference on Genetic
Programming",
-
publisher = "Springer",
-
series = "Lecture Notes in Computer Science",
-
volume = "4445",
-
year = "2007",
-
address = "Valencia, Spain",
-
month = "11-13 " # apr,
-
pages = "361--370",
-
keywords = "genetic algorithms, genetic programming",
-
isbn13 = "978-3-540-71602-0",
-
ISBN = "3-540-71602-5",
-
DOI = "doi:10.1007/978-3-540-71605-1_34",
-
abstract = "The Broadcast Language is a programming formalism
devised by Holland in 1975, which aims at improving the
efficiency of Genetic Algorithms (GAs) during long-term
evolution. The key mechanism of the Broadcast Language
is to allow GAs to employ an adaptable problem
representation. Fixed problem encoding is commonly used
by GAs but may limit their performance in particular
cases. This paper describes an implementation of the
Broadcast Language and its application to modelling
biochemical networks. Holland presented the Broadcast
Language in his book 'Adaptation in Natural and
Artificial Systems' where only a description of the
language was provided, without any implementation. Our
primary motivation for this work was the fact that
there is currently no published implementation of the
Broadcast Language available. Secondly, no additional
examination of the Broadcast Language and its
applications can be found in the literature. Holland
proposed that the Broadcast Language would be suitable
for the modeling of biochemical models. However, he did
not support this belief with any experimental work. In
this paper, we propose an implementation of the
Broadcast Language which is then applied to the
modelling of a signal transduction network. We conclude
the paper by proposing that with some refinements it
will be possible to use the Broadcast Language to
evolve biochemical networks in silico.",
-
notes = "Part of \cite{ebner:2007:GP} EuroGP'2007 held in
conjunction with EvoCOP2007, EvoBIO2007 and
EvoWorkshops2007",
- }
Genetic Programming entries for
James Decraene
George G Mitchell
Barry McMullin
Ciaran Kelly
Citations