达尔文的魔法:纳米科学、生物信息学和系统生物学中的进化计算

N. Krasnogor
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引用次数: 0

摘要

在这次演讲中,我将概述十年来在自然科学中应用进化计算思想的研究。讲座将带我们参观纳米科学中的问题,例如控制自组织系统,优化扫描探针显微镜等,生物信息学中出现的问题,例如预测蛋白质结构及其特征,以及系统和合成生物学中出现的挑战。虽然这些问题所涉及的算法解决方案彼此不同,但在其核心,它们保留了达尔文的奇妙见解。最后,我将谈谈我个人对教统会为何如此成功的看法,以及我对未来的看法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Darwin's magic: Evolutionary computation in nanoscience, bioinformatics and systems biology
In this talk I will overview ten years of research in the application of evolutionary computation ideas in the natural sciences. The talk will take us on a tour that will cover problems in nanoscience, e.g. controlling self-organizing systems, optimizing scanning probe microscopy, etc., problems arising in bioinformatics, such as predicting protein structures and their features, to challenges emerging in systems and synthetic biology. Although the algorithmic solutions involved in these problems are different from each other, at their core, they retain Darwin's wonderful insights. I will conclude the talk by giving a personal view on why EC has been so successful and where, in my mind, the future lies.
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