通过人工开发可扩展的n位奇偶校验解决方案

Tüze Kuyucu, M. Trefzer, J. Miller, A. Tyrrell
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引用次数: 4

摘要

无模型启发式的电子电路设计,如进化算法,是一个有吸引力的概念和研究领域。虽然在某种程度上是成功的,但大于3位乘法器的电路的发展受到可扩展性问题的阻碍。将生物发育建模为人工基因型-表型定位机制已被证明可以提高一些简单电路问题和模式形成的可扩展性。作为可扩展性问题的备选解决方案,提出了一种人工开发系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A scalable solution to n-bit parity via artificial development
The design of electronic circuits with model-free heuristics like evolutionary algorithms is an attractive concept and field of research. Although successful to a point, evolution of circuits that are bigger than a 3-bit multiplier is hindered by the scalability problem. Modelling the biological development as an artificial genotype-phenotype mapping mechanism has been shown to improve scalability on some simple circuit problems and pattern formations. As a candidate solution to the scalability issue, an artificial developmental system is presented.
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