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An Agent Inspired Reconfigurable Computing Implementation of a Genetic Algorithm

机译:启发式遗传算法的可重构计算实现

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摘要

Many software systems have been successfully implemented using an agent paradigm which employs a number of independent entities that communicate with one another to achieve a common goal. The distributed nature of such a paradigm makes it an excellent candidate for use in high speed reconfigurable computing hardware environments. In this paper, a distributed genetic algorithm that can be applied to the agent based reconfigurable hardware model is introduced. The effectiveness of this new algorithm is evaluated by comparing the quality of the solutions found by the new algorithm with those found by traditional genetic algorithms. The performance of a reconfigurable hardware implementation of the new algorithm on an FPGA is compared to traditional single processor implementations.
机译:使用代理范例已成功实现了许多软件系统,该范例采用了许多相互通信以实现共同目标的独立实体。这种范例的分布式性质使其成为在高速可重配置计算硬件环境中使用的极佳候选者。本文介绍了一种分布式遗传算法,该算法可以应用于基于代理的可重构硬件模型。通过将新算法发现的解决方案的质量与传统遗传算法发现的解决方案的质量进行比较,可以评估这种新算法的有效性。将FPGA上新算法的可重新配置硬件实现的性能与传统的单处理器实现进行了比较。

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