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A combinatorial digital circuit with evolutionary algorithm for evolvable hardware software codesign

机译:具有演化算法的组合数字电路,用于可演化的硬件软件代码签名

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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.
机译:进化理论同样适用于电子数字电路配置。遗传算法(GA)是基于遗传学原理和自然选择的优化和搜索技术。遗传算法进化算法的分类之一,是用于设计重新编程硬件的即将到来的区域。健身功能决定是否接受下一代的新染色体。这些函数包含各种因素,即发展受约束和多优化的硬件。我们本文的目的是介绍一种简单的方法来合成组合数字电路,具有任何VLSI电路所需的一些适合功能,并降低电路的栅极复杂性。

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