蚁群算法硬件实现的研究进展
Survey for hardware realization of ant colony algorithm
查看参考文献43篇
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文摘
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蚁群算法是优化领域中新出现的一种启发式仿生类智能进化算法，该算法采用分布式并行计算和正反馈机制．首先综述了蚁群算法及其硬件实现的研究进展，并讨论了蚁群算法硬件的主要特点；然后，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，简要阐述了蚁群算法在软硬件划分领域的应用进展；最后，展望了蚁群算法硬件实现领域未来的研究方向和内容． |
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其他语种文摘
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Ant colony algorithm （ACA） is a novel category of bionic meta-heuristic algorithm, in which parallel computation and positive feedback mechanism are adopted. The development of ACA and its hardware realization are reviewed. The main characteristics of ACA are discussed, and the detailed scheme for field programmable gate array （FPGA）-based hardware realization of ACA is proposed. The development of hardware/software partitioning, which is based on ACA, is also reviewed. Some remarks on the further research contents and directions in this domain are presented. |
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来源
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控制与决策
,2007,22(3):241-246 【核心库】
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关键词
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蚁群算法
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硬件实现
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仿生硬件
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现场可编程门阵列（FPGA）
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基于群体-蚁群优化
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地址
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1.
北京航空航天大学自动化科学与电气工程学院, 北京, 100083
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南京航空航天大学自动化学院, 南京, 210016
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中国科学院空间科学与应用研究中心, 北京, 100080
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语种
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中文 |
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文献类型
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综述型 |
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ISSN
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1001-0920 |
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学科
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自动化技术、计算机技术 |
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基金
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国家自然科学基金项目
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中国航空科学基金
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北京航空航天大学蓝天新星基金
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文献收藏号
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CSCD:2755862
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43
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