Management of Control Impacts Based on Maximizing the Spread of Influence
Alexander Tselykh1; Vladislav Vasilev1; Larisa Tselykh2
刊名International Journal of Automation and Computing
2019
卷号16期号:3页码:341-353
关键词Directed weighted graphs control impact spread of influence optimization algorithm growth model.
ISSN号1476-8186
DOI10.1007/s11633-018-1167-2
英文摘要The choice of fulcrums for control of socio-economic systems represented by directed weighted signed graphs is a topic of current interest. This article proposes a new method for identifying nodes of impact and influential nodes, which will provide a guaranteed positive system response over the growth model. The task is posed as an optimization problem to maximize the ratio of the norms of the accumulated increments of the growth vector and the exogenous impact vector. The algorithm is reduced to solving a quadratic programming problem with nonlinear restrictions. The selection of the most effective vertices is based on the cumulative gains of the component projections onto the solution vector. Numerical examples are provided to illustrate the effectiveness of the proposed method.
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/42342]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位1.Institute of Computer Technologies and Information Safety, Southern Federal University, Rostov-on-Don 344006, Russia
2.Department of Economics and Business, Rostov State University of Economics, Rostov-on-Don 344002, Russia
推荐引用方式
GB/T 7714
Alexander Tselykh,Vladislav Vasilev,Larisa Tselykh. Management of Control Impacts Based on Maximizing the Spread of Influence[J]. International Journal of Automation and Computing,2019,16(3):341-353.
APA Alexander Tselykh,Vladislav Vasilev,&Larisa Tselykh.(2019).Management of Control Impacts Based on Maximizing the Spread of Influence.International Journal of Automation and Computing,16(3),341-353.
MLA Alexander Tselykh,et al."Management of Control Impacts Based on Maximizing the Spread of Influence".International Journal of Automation and Computing 16.3(2019):341-353.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
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。


©版权所有 ©2017 CSpace - Powered by CSpace