A Profile-Based Method for Hardware/Software Co-design Applied in Evolutionary Robotics Using Reconfigurable Computing

M. A. Dias, D. Sales, F. Osório
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引用次数: 2

Abstract

Evolutionary algorithms are a very common technique on computational intelligence field. Some algorithms need a huge amount of memory, making them not so trivial to apply on embedded systems. In this work a profile-based approach is proposed and applied in an evolutionary algorithm with some characteristics that allow its use on embedded systems: the micro-GA. The main goal is to improve the execution time compared to other software algorithms obtaining also an acceptable design time. The results presents comparisons between implementations and discussions about soft-processor features influence on this type of algorithm.
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基于可重构计算的进化机器人软硬件协同设计方法
进化算法是计算智能领域中非常常用的一种技术。一些算法需要大量的内存,这使得它们在嵌入式系统上的应用不是那么简单。在这项工作中,提出了一种基于配置文件的方法,并将其应用于一种进化算法中,该算法具有一些允许其在嵌入式系统上使用的特征:微遗传算法。其主要目标是提高与其他软件算法相比的执行时间,同时获得可接受的设计时间。结果给出了实现之间的比较,并讨论了软处理器特性对这类算法的影响。
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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