特质
集合(抽象数据类型)
有机体
帕累托原理
任务(项目管理)
选择(遗传算法)
生物
空格(标点符号)
透视图(图形)
帕累托分布
表型
帕累托最优
适应(眼睛)
进化生物学
计算机科学
数学
统计
人工智能
遗传学
经济
基因
管理
神经科学
程序设计语言
操作系统
作者
Oren Shoval,Hila Sheftel,Guy Shinar,Yuval Hart,Omer Ramote,Avi Mayo,E. Dekel,Kathryn D. Kavanagh,Uri Alon
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2012-06-01
卷期号:336 (6085): 1157-1160
被引量:497
标识
DOI:10.1126/science.1217405
摘要
Managing Trade-Offs Most organisms experience selection on a host of traits to determine their likelihood to succeed evolutionarily. However, specific traits may experience trade-offs in determining an organism's optimal phenotype. Shoval et al. (p. 1157 ; see the Perspective by Noor and Milo ) relate physical traits to the task that they are optimizing using a Pareto curve, a power law probability distribution, to show that a single set of trait values optimizes performance at a given task and that performance decreases as an organism's phenotype moves away from this set of trait values. The results suggest how selection makes the best trade-offs for an arbitrary number of tasks and traits and may explain examples of evolutionary variation.
科研通智能强力驱动
Strongly Powered by AbleSci AI