基于进化算法的可进化硬件软件协同设计组合数字电路

A. Srivastava, M. Srivastava
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引用次数: 4

摘要

进化理论同样适用于电子数字电路结构。遗传算法是一种基于遗传和自然选择原理的优化和搜索技术。遗传算法是进化算法的一种,是可编程硬件设计的一个新兴领域。适应度函数决定是否为下一代接受新的染色体。这些功能包含了各种因素,这些因素使硬件得到了约束和优化。本文的目的是提出一种简单的方法来合成具有任意VLSI电路所需的适应度函数的组合数字电路,并降低电路的门复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A combinatorial digital circuit with evolutionary algorithm for evolvable hardware software codesign
The theory of evolution is equally well applied on the electronic digital circuit configuration. The genetic algorithm (GA) is an optimization and search technique based on the principles of genetics and natural selection. Genetic algorithm one of the classifications of evolutionary algorithm, is an upcoming area for the designing of reprogrammable hardware. The fitness function decides whether to accept new chromosome for the next generation or not. These functions incorporate various factors that evolve a constrained and much optimized hardware. Our aim in this paper is to present a simple method to synthesize a combinatorial digital circuit with some fitness functions required for any VLSI circuit and reduce the gate complexity of the circuit.
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