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基于FPGA的蚁群算法硬件实现

The hardware implementation of ant colony algorithm based on FPGA
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摘要 蚁群算法的硬件实现是仿生硬件领域的一个分支,也是蚁群算法发展的高级阶段。该文介绍了蚁群算法硬件的主要特点;着重介绍了基于现场可编程门阵列(FPGA)的蚁群算法硬件实现方案;展望了蚁群算法硬件实现领域未来的研究方向和内容。 The hardware implementation of ant colony algorithm (ACA) is a branch of the bionic hardware domain, that is , a higher phase of the ACA development. The paper presents the main characteristics of the ACA hardwere and its implementation scheme based on the field programmable gate array (FPGA) along with some remarks on the further research contents and directions in this domain.
作者 李静 杨洲
出处 《工业仪表与自动化装置》 2008年第4期91-93,共3页 Industrial Instrumentation & Automation
关键词 蚁群算法 硬件实现 现场可编程门阵列(FPGA) 基于群体-蚁群优化算法 ant colony algorithm hardware implementation FPGA population-based ant colony optimization algorithm
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参考文献5

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