Nittany基因组计划:一种遗传算法方法来优化包模拟的最坏情况比特流

Electrical Performance of Electrical Packaging (IEEE Cat. No. 03TH8710) Pub Date : 2003-12-08 DOI:10.1109/EPEP.2003.1250055

S. Ulrich, A. Wirick, D. de Araujo, N. Pham, M. Cases

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引用次数: 4

摘要

本文描述了在封装仿真中使用遗传算法来优化短比特流输入以产生近似最坏情况的抖动。总结了该算法的理论基础及其在服务器内存子系统仿真中的应用。给出了利用该算法的定制软件，并给出了应用实例。

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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The Nittany Genome Project: a genetic algorithm approach to optimize a worst case bitstream for package simulation

This paper describes the use of a genetic algorithm to optimize short bitstream inputs to produce approximately worst case jitter in package simulation. Theory behind the algorithm and its applicability to a server memory subsystem simulation is summarized. Custom software utilizing this algorithm and an example of its use are presented.

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来源期刊

Electrical Performance of Electrical Packaging (IEEE Cat. No. 03TH8710)

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