分子生物学的中心法则——进化计算的新范式

C. Rotar
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引用次数: 11

摘要

本研究的目的是在分子生物学方面发展一种新的进化计算范式。标准遗传算法是受自然进化和遗传学简化模型启发的启发式算法。分子生物学的最新发现和创新,与传统的分子生物学中心教条有关,产生了更新遗传算法的必要性,尽管遗传算法已经成功地应用于各种复杂的任务中。在这个方向上,进化计算的研究需要重新考虑这些流行的优化技术发展的概念和理论。由于新特征的出现在进化中很重要,DNA密码需要进步。基于突变和自然选择的进化计算可以从蛋白质合成和逆转录的角度重新考虑。从计算的角度来看,为了获得可靠的计算技术,一个生物现象可以用不同的形式来解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Central Dogma of Molecular Biology - New Paradigm in Evolutionary Computation
The aim of this study is to develop a new evolutionary computation paradigm in terms of molecular biology. Standard genetic algorithms are heuristics inspired by the simplified model of natural evolution and genetics. The latest discoveries and innovations from molecular biology, related to the conventional central dogma of molecular biology, generate the necessity of updating the genetic algorithms, although successfully applied in various complex tasks. In this direction, the research in Evolutionary Computation requires a reconsideration of the concepts and theories underlying the development of these popular optimization techniques. Since the emergence of the new features is important in the evolution, the DNA code requires progress. Evolutionary Computation which is based on the mutation and the natural selection can be reconsidered in terms of protein synthesis and reverse transcription. From the computational perspective, a biological phenomenon might be interpreted in various forms in order to obtain reliable computational techniques.
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