| Genome Length as an Evolutionary Self-adaptation | |
Abstract/OtherAbstract
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. There is increasing interest in evolutionary algorithms that have variable-length genomes and/or location independent genes. However, our understanding of such algorithms both theoretically and empirically is much less well developed than the more traditional fixed-length, fixed-location ones. Recent studies with VIV (VIrtual Virus), a variable length, GA-based computational model of viral evolution, have revealed several emergent phenomena of both biological and computational interest. One interesting and somewhat surprising result is that the length of individuals in the population self-adapts in direct response to the mutation rate applied, so the GA adaptively strikes the balance it needs to successfully solve the problem. Over a broad range of mutation rates, genome length tends to increase dramatically in the early phases of evolution, and then decrease to a level based on the mutation rate. The plateau genome length (i.e., the average length of individuals in the final populat... |
Authors
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Connie Loggia Ramsey,Kenneth A. De Jong,John J. Grefenstette,Annie S. Wu,Donald S. Burke |
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Contributors
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The Pennsylvania State University CiteSeer Archives |
Publication Detail
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Publisher : unknown Type : - Format : ps |
Date Detail
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1970-01-01 |
Subject
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Connie Loggia Ramsey,Kenneth A. De Jong,John J. Grefenstette,Annie S. Wu,Donald S. Burke Genome Length as an Evolutionary Self-adaptation |
Coverage
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- |
Relation
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oai:CiteSeerPSU:14572, oai:CiteSeerPSU:39682, oai:CiteSeerPSU:51001, oai:CiteSeerPSU:150812, oai:CiteSeerPSU:83563, oai:CiteSeerPSU:327857, oai:CiteSeerPSU:212034, oai:CiteSeerPSU:168281, oai:CiteSeerPSU:246003, oai:CiteSeerPSU:528183, oai:CiteSeerPSU:15714, oai:CiteSeerPSU:349513, oai:CiteSeerPSU:171804, oai:CiteSeerPSU:57050, oai:CiteSeerPSU:185401 |
Source
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ftp://ftp.aic.nrl.navy.mil/pub/aswu/papers/ppsn.98.ps.gz |
Copyright Information
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unrestricted |
Other Details
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Languages : en |
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