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dc.contributor.author
Huang, Chien Feng
dc.contributor.author
Kaur, Jasleen
dc.contributor.author
Maguitman, Ana Gabriela
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dc.contributor.author
Rocha, Luis M.
dc.date.available
2019-08-06T19:12:59Z
dc.date.issued
2007-08-17
dc.identifier.citation
Huang, Chien Feng; Kaur, Jasleen; Maguitman, Ana Gabriela; Rocha, Luis M.; Agent-based model of genotype editing; MIT Press; Evolutionary Computation; 15; 3; 17-8-2007; 253-289
dc.identifier.issn
1063-6560
dc.identifier.uri
http://hdl.handle.net/11336/81009
dc.description.abstract
Evolutionary algorithms rarely deal with ontogenetic, non-inherited alteration of genetic information because they are based on a direct genotype-phenotype mapping. In contrast, several processes have been discovered in nature which alter genetic information encoded in DNA before it is translated into amino-acid chains. Ontogenetically altered genetic information is not inherited but extensively used in regulation and development of phenotypes, giving organisms the ability to, in a sense, re-program their genotypes according to environmental cues. An example of post-transcriptional alteration of gene-encoding sequences is the process of RNA Editing. Here we introduce a novel Agent-based model of genotype editing and a computational study of its evolutionary performance in static and dynamic environments. This model builds on our previous Genetic Algorithm with Editing, but presents a fundamentally novel architecture in which coding and non-coding genetic components are allowed to co-evolve. Our goals are: (1) to study the role of RNA Editing regulation in the evolutionary process, (2) to understand how genotype editing leads to a different, and novel evolutionary search algorithm, and (3) the conditions under which genotype editing improves the optimization performance of traditional evolutionary algorithms. We show that genotype editing allows evolving agents to perform better in several classes of fitness functions, both in static and dynamic environments. We also present evidence that the indirect genotype/phenotype mapping resulting from genotype editing leads to a better exploration/exploitation compromise of the search process. Therefore, we show that our biologically-inspired model of genotype editing can be used to both facilitate understanding of the evolutionary role of RNA regulation based on genotype editing in biology, and advance the current state of research in Evolutionary Computation.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
MIT Press
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Rna Editing
dc.subject
Genotype Editing
dc.subject
Genetic Algorithms
dc.subject
Agent Based Modeling
dc.subject
Coevolution
dc.subject
Indirect Genotype/Phenotype Mapping
dc.subject
Dynamic Environments
dc.subject
Biologically Inspired Computing
dc.subject.classification
Control Automático y Robótica
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dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Agent-based model of genotype editing
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-07-12T16:14:57Z
dc.identifier.eissn
1530-9304
dc.journal.volume
15
dc.journal.number
3
dc.journal.pagination
253-289
dc.journal.pais
Estados Unidos
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dc.journal.ciudad
Boston
dc.description.fil
Fil: Huang, Chien Feng. Los Alamos National Laboratory; Estados Unidos
dc.description.fil
Fil: Kaur, Jasleen. Indiana University; Estados Unidos
dc.description.fil
Fil: Maguitman, Ana Gabriela. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
dc.description.fil
Fil: Rocha, Luis M.. Indiana University; Estados Unidos
dc.journal.title
Evolutionary Computation
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.mitpressjournals.org/doi/abs/10.1162/evco.2007.15.3.253
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1162/evco.2007.15.3.253
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