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The Holland Broadcast Language and the Modeling of Biochemical Networks.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Rangan, C. Pandu
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Ebner, Marc
O'Neill, Michael
Ekárt, Anikó
Vanneschi, Leonardo
Esparcia-Alcázar, Anna Isabel
Source :
Genetic Programming (9783540716020); 2007, p361-370, 10p
Publication Year :
2007

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 modeling 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 modeling 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540716020
Database :
Supplemental Index
Journal :
Genetic Programming (9783540716020)
Publication Type :
Book
Accession number :
33110367
Full Text :
https://doi.org/10.1007/978-3-540-71605-1_34