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Conference object . 2017
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https://doi.org/10.1109/cec.20...
Article . 2017 . Peer-reviewed
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Exploring the evolution of Genotype Phenotype Mappings

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jun 2017 Netherlands Publisher:IEEEJournal:2017 IEEE Congress on Evolutionary Computation (CEC)
Authors: Paredis, J.;

doi: 10.1109/cec.2017.7969324

Exploring the evolution of Genotype Phenotype Mappings

Abstract

This paper investigates the evolution of two types of simple Genotype Phenotype Mappings (GPMs): a many-to-one mapping and a one-to-many mapping. Both GPMs are under genetic control. For both types of mappings different Regions Of Maximum Adaptability (ROMAs) are found. These ROMAs are the regions - in a paramterized space of GPMs - evolution leads to. The attraction towards these ROMAs increases as selection pressure increases. Finally, this paper discusses the evolution of pleiotropy and the ROMAs it leads to.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Related to Research communities
Netherlands Research Portal