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

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

Abstract

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.
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
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。
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