Use of conditional developmental operators and free variables in automatically synthesizing generalized circuits using genetic programming

J. Koza, Jessen Yu, W. Mydlowec, M. A. Keane
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引用次数: 7

Abstract

This paper demonstrates that generic programming can be used to create a circuit-constructing computer program that contains both conditional operations and inputs (free variables). The conditional operations and free variables enable a single genetically evolved program to yield functionally and topologically different electrical circuits. The conditional operations can trigger the execution of alternative sequences of steps based on the particular values of the free variables. The particular values of the free variables can also determine the component value of the circuit's components. Thus, a single evolved computer program can represent the solution to many instances of a problem. This principle is illustrated by evolving a single computer program that yields a lowpass or a highpass filter whose passband and stopband boundaries depend on the program's inputs.
条件发展算子和自由变量在遗传规划自动合成广义电路中的应用
本文演示了通用编程可以用来创建一个包含条件操作和输入(自由变量)的电路构造计算机程序。条件运算和自由变量使单个遗传进化程序能够产生功能和拓扑结构不同的电路。条件操作可以根据自由变量的特定值触发可选步骤序列的执行。自由变量的特定值也可以决定电路中元件的分量值。因此,一个进化的计算机程序可以代表一个问题的许多实例的解决方案。这个原理是通过发展一个单一的计算机程序来说明的,该程序产生一个低通或高通滤波器,其通带和阻带边界取决于程序的输入。
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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