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蚁群算法硬件实现的研究进展
Alternative TitleSurvey for hardware realization of ant colony algorithm
段海滨; 王道波; 于秀芬; 北京8701信箱
Department国家863计划微波遥感技术实验室
Source Publication控制与决策
2007
Volume22Issue:3Pages:241-246
ISSN1001-0920
Language中文
Keyword蚁群算法 硬件实现 仿生硬件 现场可编程门阵列(Fpga) 基于群体-蚁群优化
Abstract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.
Other AbstractAnt 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 it s hardware realization are reviewed. The main characteristics of ACA are discussed,and the detailed scheme for field programmable gate array(FPGA)2based hardware realization of ACA is proposed.The development of hardware/sof tware partitioning,which is based on ACA,is also reviewed. Some remarks on the further research content s and directions in this domain are presented.
Indexed ByCSCD
Funding Project中国科学院空间科学与应用研究中心
Citation statistics
Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/2021
Collection微波遥感部
Corresponding Author北京8701信箱
Recommended Citation
GB/T 7714
段海滨,王道波,于秀芬,等. 蚁群算法硬件实现的研究进展[J]. 控制与决策,2007,22(3):241-246.
APA 段海滨,王道波,于秀芬,&北京8701信箱.(2007).蚁群算法硬件实现的研究进展.控制与决策,22(3),241-246.
MLA 段海滨,et al."蚁群算法硬件实现的研究进展".控制与决策 22.3(2007):241-246.
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