NSSC OpenIR  > 微波遥感部
蚁群算法的研究进展评述
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自然杂志
2006
Volume28Issue:2Pages:102-105
ISSN0253-9608
Language中文
Keyword蚁群算法 信息素 正反馈 模型改进
Abstract蚁群算法是近几年优化领域中新出现的一种启发式仿生类并行智能进化系统,该算法采用分布式并行计算和正反馈机制,易于与其他方法结合,目前已经在众多组合优化领域中得到广泛应用.本文在介绍回顾蚁群算法发展历史的基础上,简要评述了部分具有代表性的蚁群算法改进模型及其应用情况,最后对蚁群算法在今后的研究方向作了展望.
Funding Project中国科学院空间科学与应用研究中心
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/2019
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. 蚁群算法的研究进展评述[J]. 自然杂志,2006,28(2):102-105.
APA 段海滨,王道波,于秀芬,&北京8701信箱.(2006).蚁群算法的研究进展评述.自然杂志,28(2),102-105.
MLA 段海滨,et al."蚁群算法的研究进展评述".自然杂志 28.2(2006):102-105.
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