Overabundant mutations help potentiate evolution: The effect of biologically realistic mutation rates on computer models of evolution

W. Ewert
{"title":"Overabundant mutations help potentiate evolution: The effect of biologically realistic mutation rates on computer models of evolution","authors":"W. Ewert","doi":"10.5048/BIO-C.2015.1","DOIUrl":null,"url":null,"abstract":"Various existing computer models of evolution attempt to demonstrate the efficacy of Darwinian evolution by solving simple problems. These typically use per-nucleotide (or nearest analogue) mutation rates orders of magnitude higher than biological rates. This paper compares models using typical rates for genetic algorithms with the same models using a realistic mutation rate. It finds that the models with the realistic mutation rates lose the ability to solve the simple problems. This is shown to be the result of the difficulty of evolving mutations that only provide a benefit in combination with other mutations.","PeriodicalId":89660,"journal":{"name":"BIO-complexity","volume":"2015 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2015-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BIO-complexity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5048/BIO-C.2015.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Various existing computer models of evolution attempt to demonstrate the efficacy of Darwinian evolution by solving simple problems. These typically use per-nucleotide (or nearest analogue) mutation rates orders of magnitude higher than biological rates. This paper compares models using typical rates for genetic algorithms with the same models using a realistic mutation rate. It finds that the models with the realistic mutation rates lose the ability to solve the simple problems. This is shown to be the result of the difficulty of evolving mutations that only provide a benefit in combination with other mutations.
过多的突变有助于促进进化:生物学上现实的突变率对进化的计算机模型的影响
各种现有的计算机进化模型试图通过解决简单的问题来证明达尔文进化论的有效性。这些通常使用比生物速率高几个数量级的每核苷酸(或最接近的类似物)突变率。本文比较了使用遗传算法的典型比率的模型与使用现实突变率的相同模型。研究发现,具有实际突变率的模型失去了解决简单问题的能力。这被证明是只有在与其他突变结合时才能提供益处的突变进化困难的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信