RNA编辑与鲁棒遗传算法设计的探讨
Exploration of RNA Editing and Design of Robust Genetic Algorithms
摘要：
本文介绍了我们的计算方法，使用遗传算法（GA）探索RNA编辑的性质。这些模型是使用从RNA编辑系统中收集的几种基因编辑特征构建的，如在几种生物体中观察到的。我们扩展了传统的遗传算法与人工编辑机制，提出了（Rocha，1997）。编辑机制的引入为具有遗传描述的人工代理提供了一种手段，以获得更大的表型可塑性，这可能是环境调节的。我们对这些想法的第一次实现为RNA编辑的进化意义提供了一些线索。基于这些理解，我们展示了如何选择合适的RNA编辑器来设计更强大的遗传算法，结果将显示出有前途的应用到现实世界的问题。我们希望提出的框架将有助于确定RNA编辑在生物学中的进化作用，并推进遗传算法的研究现状。
英文摘要：
This paper presents our computational methodology using Genetic Algorithms (GA) for exploring the nature of RNA editing. These models are constructed using several genetic editing characteristics that are gleaned from the RNA editing system as observed in several organisms. We have expanded the traditional Genetic Algorithm with artificial editing mechanisms as proposed by (Rocha, 1997). The incorporation of editing mechanisms provides a means for artificial agents with genetic descriptions to gain greater phenotypic plasticity, which may be environmentally regulated. Our first implementations of these ideas have shed some light into the evolutionary implications of RNA editing. Based on these understandings, we demonstrate how to select proper RNA editors for designing more robust GAs, and the results will show promising applications to real-world problems. We expect that the framework proposed will both facilitate determining the evolutionary role of RNA editing in biology, and advance the current state of research in Genetic Algorithms.
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