SIA OpenIR  > 信息服务与智能控制技术研究室
Root Growth Optimizer with Self-Similar Propagation
He XX(何小贤); Chen HN(陈瀚宁); Niu B(牛奔); Wang J(汪洁)
作者部门信息服务与智能控制技术研究室
发表期刊Mathematical Problems in Engineering
ISSN1024-123X
2015
卷号2015页码:1-12
收录类别SCI ; EI
EI收录号20152100879838
WOS记录号WOS:000355818500001
产权排序3
资助机构Chinese Academy of Sciences [WLHKZ2014004] ; National Natural Science Foundation of China [61202341, 61202495, 71271140, 71001072] ; Hong Kong Scholars Program [G-YZ24] ; China Postdoctoral Science Foundation [20100480705, 2012T50584] ; Shenzhen Science and Technology Plan Project [CXZZ20140418182638764]
摘要Most nature-inspired algorithms simulate intelligent behaviors of animals and insects that can move spontaneously and independently. The survival wisdom of plants, as another species of biology, has been neglected to some extent even though they have evolved for a longer period of time. This paper presents a new plant-inspired algorithm which is called root growth optimizer (RGO). RGO simulates the iterative growth behaviors of plant roots to optimize continuous space search. In growing process, main roots and lateral roots, classified by fitness values, implement different strategies. Main roots carry out exploitation tasks by self-similar propagation in relatively nutrient-rich areas, while lateral roots explore other places to seek for better chance. Inhibition mechanism of plant hormones is applied to main roots in case of explosive propagation in some local optimal areas. Once resources in a location are exhausted, roots would shrink away from infertile conditions to preserve their activity. In order to validate optimization effect of the algorithm, twelve benchmark functions, including eight classic functions and four CEC2005 test functions, are tested in the experiments. We compared RGO with other existing evolutionary algorithms including artificial bee colony, particle swarm optimizer, and differential evolution algorithm. The experimental results show that RGO outperforms other algorithms on most benchmark functions.
语种英语
WOS标题词Science & Technology ; Technology ; Physical Sciences
WOS类目Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
关键词[WOS]DIFFERENTIAL EVOLUTION ; PLANT NEUROBIOLOGY ; FRACTAL ANALYSIS ; RICE ; ARCHITECTURE ; SYSTEMS ; AUXIN
WOS研究方向Engineering ; Mathematics
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/16154
专题信息服务与智能控制技术研究室
通讯作者He XX(何小贤); Niu B(牛奔)
作者单位1.College of Information Science and Engineering, Central South University, Changsha, China
2.College of Engineering, University of Tennessee, Knoxville, TN, United States
3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
4.College of Management, Shenzhen University, Shenzhen, China
5.Hong Kong Polytechnic University, Hung Hom, Hong Kong
推荐引用方式
GB/T 7714
He XX,Chen HN,Niu B,et al. Root Growth Optimizer with Self-Similar Propagation[J]. Mathematical Problems in Engineering,2015,2015:1-12.
APA He XX,Chen HN,Niu B,&Wang J.(2015).Root Growth Optimizer with Self-Similar Propagation.Mathematical Problems in Engineering,2015,1-12.
MLA He XX,et al."Root Growth Optimizer with Self-Similar Propagation".Mathematical Problems in Engineering 2015(2015):1-12.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Root Growth Optimize(2720KB)期刊论文出版稿开放获取ODC PDDL浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[He XX(何小贤)]的文章
[Chen HN(陈瀚宁)]的文章
[Niu B(牛奔)]的文章
百度学术
百度学术中相似的文章
[He XX(何小贤)]的文章
[Chen HN(陈瀚宁)]的文章
[Niu B(牛奔)]的文章
必应学术
必应学术中相似的文章
[He XX(何小贤)]的文章
[Chen HN(陈瀚宁)]的文章
[Niu B(牛奔)]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Root Growth Optimizer with Self-Similar Propagation.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。