用于模拟电路、光学透镜系统、控制器、天线、机械系统和量子计算电路的进化设计的遗传编程运行的跨域特征

J. Koza, Sameer H. Al-Sakran, L. W. Jones
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引用次数: 33

摘要

遗传编程现在已经成功地在许多领域自动合成与人类竞争的设计,包括模拟电路、光学透镜系统、天线、控制器、机械系统和量子计算电路。尽管在表示和技术上有相当大的差异,但上述结果具有许多共同的特征。本文确定了五个共同特征,并提出了可能的解释和解释。这些跨领域观察中的一些显然是在工作完成之前无法预料到的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cross-domain features of runs of genetic programming used to evolve designs for analog circuits, optical lens systems, controllers, antennas, mechanical systems, and quantum computing circuits
Genetic programming has now been successfully used to automatically synthesize human-competitive designs in a number of fields, including analog electrical circuits, optical lens systems, antennas, controllers, mechanical systems, and quantum computing circuits. Despite considerable variation in representation and technique, the above results share a number of common features. This paper identifies five common features and suggests possible explanations and interpretations for them. Some of these cross-domain observations clearly could not have been anticipated prior to the work being done.
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