The Holland Broadcast Language and the Modeling of Biochemical Networks

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@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

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