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Navigating the Complexities of Controller Placement in SD-WANs:A Multi-Objective Perspective on Current Trends and Future Challenges 认领 引用
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作者 Abdulrahman M.Abdulghani Azizol Abdullah +3 位作者 A.R.Rahiman Nor Asilah Wati Abdul Hamid Bilal Omar Akram Hafsa Raissouli 《Computer Systems Science & Engineering》 2025年第1期123-157,共35页
This review article provides a comprehensive analysis of the latest advancements and persistent challenges in Software-Defined Wide Area Networks(SD-WANs),with a particular emphasis on the multi-objective Controller P... This review article provides a comprehensive analysis of the latest advancements and persistent challenges in Software-Defined Wide Area Networks(SD-WANs),with a particular emphasis on the multi-objective Controller Placement Problem(CPP).As SD-WAN technology continues to gain prominence for its capacity to offer flexible and efficient network management,the task of 36optimally placing controllers—responsible for orchestrating and managing network traffic—remains a critical yet complex challenge.This review delves into recent innovations in multi-objective controller placement strategies,including clustering techniques,heuristic-based approaches,and the integration of machine learning and deep learning models.Each methodology is critically evaluated in terms of its ability to minimize network latency,enhance fault tolerance,and improve overall network performance.Furthermore,this paper discusses the inherent limitations and challenges associated with these techniques,providing a critical evaluation of their current utility and outlining potential avenues for future research.By offering a thorough overview of state-of-the-art approaches to multi-objective controller placement in SD-WANs,this review aims to inform ongoing advancements and highlight emerging research opportunities in this evolving field. 展开更多
关键词 SDN SD-WAN multi-objectives controller placement problem(CPP) clustering algorithm heuristic algorithm fault tolerance
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MGOKA:A Multi-Objective Optimization Algorithm for Controller Placement Problem Combining Network Partition with Cluster Fusion in Software Defined Network 认领 引用
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作者 CHEN Jue XIAO Changwei +1 位作者 QIU Xihe LÜ Wenjing 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2024年第6期589-599,共11页
Software Defined Network(SDN)has been developed rapidly in technology and popularized in application due to its efficiency and flexibility in network management.In multi-controller SDN architecture,the Controller Plac... Software Defined Network(SDN)has been developed rapidly in technology and popularized in application due to its efficiency and flexibility in network management.In multi-controller SDN architecture,the Controller Placement Problem(CPP)must be solved carefully as it directly affects the whole network performance.This paper proposes a Multi-objective Greedy Optimized K-means Algorithm(MGOKA)to solve this problem to optimize worst-case and average delay between switches and controllers as well as synchronization delay and load balance among controllers for Wide Area Networks(WAN).MGOKA combines the process of network partition based on the K-means algorithm with cluster fusion based on the greedy algorithm and designs a normalization strategy to convert a multi-objective into a single-objective optimization problem.The simulation results depict that in different network scales with different numbers of controllers,the relative optimization rate of our proposed algorithm compared with K-means,K-means++,and GOKA can reach up to 101.5%,109.9%,and 79.8%,respectively.Moreover,the error rate between MGOKA and the global optimal solution is always less than 4%. 展开更多
关键词 Software Defined Network Controller Placement Problem propagation delay load balance multi-objective optimization
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Using Heuristics to the Controller Placement Problem in Software-Defined Multihop Wireless Networking 认领 引用
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作者 Afsane Zahmatkesh Chung-Horng Lung 《Communications and Network》 2020年第4期199-219,共21页
Solving the controller placement problem (CPP) in an SDN architecture with multiple controllers has a significant impact on control overhead in the network, especially in multihop wireless networks (MWNs). The generat... Solving the controller placement problem (CPP) in an SDN architecture with multiple controllers has a significant impact on control overhead in the network, especially in multihop wireless networks (MWNs). The generated control overhead consists of controller-device and inter-controller communications to discover the network topology, exchange configurations, and set up and modify flow tables in the control plane. However, due to the high complexity of the proposed optimization model to the CPP, heuristic algorithms have been reported to find near-optimal solutions faster for large-scale wired networks. In this paper, the objective is to extend those existing heuristic algorithms to solve a proposed optimization model to the CPP in software-defined multihop wireless networking (SDMWN).Our results demonstrate that using ranking degrees assigned to the possible controller placements, including the average distance to other devices as a degree or the connectivity degree of each placement, the extended heuristic algorithms are able to achieve the optimal solution in small-scale networks in terms of the generated control overhead and the number of controllers selected in the network. As a result, using extended heuristic algorithms, the average number of hops among devices and their assigned controllers as well as among controllers will be reduced. Moreover, these algorithms are able tolower the control overhead in large-scale networks and select fewer controllers compared to an extended algorithm that solves the CPP in SDMWN based on a randomly selected controller placement approach. 展开更多
关键词 Software-defined Multihop Wireless Networking (SDMWN) Controller Placement Problem (CPP) Control Overhead Heuristic Algorithms
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Adaptive Controller Placement in Software Defined Wireless Networks 认领 引用 被引量：2
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作者 Feixiang Li Xiaobin Xu +2 位作者 Xiao Han Shengxin Gao Yupeng Wang 《China Communications》 SCIE CSCD 2019年第11期81-92,共12页
Controller placement problem(CPP)is a critical issue in software defined wireless networks(SDWN).Due to the limited power of wireless devices,CPP is facing the challenge of energy efficiency in SDWN.Nevertheless,the r... Controller placement problem(CPP)is a critical issue in software defined wireless networks(SDWN).Due to the limited power of wireless devices,CPP is facing the challenge of energy efficiency in SDWN.Nevertheless,the related research on CPP in SDWN hasn’t modeled the energy consumption of controllers so far.To prolong the lifetime of SDWN and improve the practicability of research,we rebuilt a CPP model considering the minimal transmitted power of controllers.An adaptive controller placement algorithm(ACPA)is proposed with the following two stages.First,data field method is adopted to determine sub-networks for different network topologies.Second,for each sub-network we adopt an exhaustive method to find the optimal location which meets the minimal average transmitted power to place controller.Compared with the other algorithms,the effectiveness and efficiency of the proposed scheme are validated through simulation. 展开更多
关键词 computer application technology adaptive controller placement algorithm data field method controller placement problem
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Controller Placement in Software Defined Internet of Things Using Optimization Algorithm 认领 引用
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作者 Sikander Hans Smarajit Ghosh +2 位作者 Aman Kataria Vinod Karar Sarika Sharma 《Computers, Materials & Continua》 SCIE EI 2022年第3期5073-5089,共17页
The current and future status of the internet is represented by the upcoming Internet of Things(IoT).The internet can connect the huge amount of data,which contains lot of processing operations and efforts to transfer... The current and future status of the internet is represented by the upcoming Internet of Things(IoT).The internet can connect the huge amount of data,which contains lot of processing operations and efforts to transfer the pieces of information.The emerging IoT technology in which the smart ecosystem is enabled by the physical object fixed with software electronics,sensors and network connectivity.Nowadays,there are two trending technologies that take the platform i.e.,Software Defined Network(SDN)and IoT(SD-IoT).The main aim of the IoT network is to connect and organize different objects with the internet,which is managed with the control panel and data panel in the SD network.The main issue and the challenging factors in this network are the increase in the delay and latency problem between the controllers.It is more significant for wide area networks,because of the large packet propagation latency and the controller placement problem is more important in every network.In the proposed work,IoT is implementing with adaptive fuzzy controller placement using the enhanced sunflower optimization(ESFO)algorithm and Pareto Optimal Controller placement tool(POCO)for the placement problem of the controller.In order to prove the efficiency of the proposed system,it is compared with other existing methods like PASIN,hybrid SD and PSO in terms of load balance,reduced number of controllers and average latency and delay.With 2 controllers,the proposed method obtains 400 miles as average latency,which is 22.2%smaller than PSO,76.9%lesser than hybrid SD and 91.89%lesser than PASIN. 展开更多
关键词 SD-IoT adaptive fuzzy controller enhanced sunflower optimization(ESFO) POCO placement tool controller placement problem and minimum latency
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Sea Turtle Foraging Optimization-Based Controller Placement with Blockchain-Assisted Intrusion Detection in Software-Defined Networks 认领 引用
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作者 Sultan Alkhliwi 《Computers, Materials & Continua》 SCIE EI 2023年第6期4735-4752,共18页
Software-defined networking(SDN)algorithms are gaining increas-ing interest and are making networks flexible and agile.The basic idea of SDN is to move the control planes to more than one server’s named controllers a... Software-defined networking(SDN)algorithms are gaining increas-ing interest and are making networks flexible and agile.The basic idea of SDN is to move the control planes to more than one server’s named controllers and limit the data planes to numerous sending network components,enabling flexible and dynamic network management.A distinctive characteristic of SDN is that it can logically centralize the control plane by utilizing many physical controllers.The deployment of the controller—that is,the controller placement problem(CPP)—becomes a vital model challenge.Through the advancements of blockchain technology,data integrity between nodes can be enhanced with no requirement for a trusted third party.Using the lat-est developments in blockchain technology,this article designs a novel sea turtle foraging optimization algorithm for the controller placement problem(STFOA-CPP)with blockchain-based intrusion detection in an SDN environ-ment.The major intention of the STFOA-CPP technique is the maximization of lifetime,network connectivity,and load balancing with the minimization of latency.In addition,the STFOA-CPP technique is based on the sea turtles’food-searching characteristics of tracking the odour path of dimethyl sulphide(DMS)released from food sources.Moreover,the presented STFOA-CPP technique can adapt with the controller’s count mandated and the shift to controller mapping to variable network traffic.Finally,the blockchain can inspect the data integrity,determine significantly malicious input,and improve the robust nature of developing a trust relationship between sev-eral nodes in the SDN.To demonstrate the improved performance of the STFOA-CPP algorithm,a wide-ranging experimental analysis was carried out.The extensive comparison study highlighted the improved outcomes of the STFOA-CPP technique over other recent approaches. 展开更多
关键词 Software-defined networking NP hard problem metaheuristics controller placement problem objective function
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POLE PLACEMENT CONTROLLERS FOR LINEAR TIME-DELAY SYSTEMS WITH COMMENSURATE POINT DELAYS 认领 引用
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作者 M. de la Sen 《Analysis in Theory and Applications》 2004年第4期358-372,共15页
This paper investigates the exact and approximate spectrum assignment properties associated with realizable output-feedback pole-placement type controllers for single-input single-output linear time-invariant time-del... This paper investigates the exact and approximate spectrum assignment properties associated with realizable output-feedback pole-placement type controllers for single-input single-output linear time-invariant time-delay systems with commensurate point delays. The controller synthesis problem is discussed through the solvability of a set of coupled diophantine equations of polynomials. An extra complexity is incorporated to the above design to cancel extra unsuitable dynamics being generated when solving the above diophantine equations. Thus, the complete controller tracks any arbitrary prefixed (either finite or delay-dependent) closed-loop spectrum. However, if the controller is simplified by deleting the above mentioned extra complexity, then the robust stability and approximated spectrum assignment are still achievable for a certain sufficiently small amount of delayed dynamics. Finally, the approximate spectrum assignment and robust stability problems are revisited under plant disturbances if the nominal controller is maintained. In the current approach, the finite spectrum assignment is only considered as a particular case to the designer's choice of a (delay-dependent) arbitrary spectrum assignment objective. 展开更多
关键词 pole placement controller linear time-delay system controller synthesis problem
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Varna-based optimization:a novel method for capacitated controller placement problem in SDN 认领 引用 被引量：1
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作者 Ashutosh Kumar SINGH Saurabh MAURYA Shashank SRIVASTAVA 《Frontiers of Computer Science》 SCIE EI CSCD 2020年第3期87-111,共25页
Recently,software defined networking(SDN)is a promising paradigm shift that decouples the control plane from the data plane.It can centrally monitor and control the network through softwarization,i.e.,controller.Multi... Recently,software defined networking(SDN)is a promising paradigm shift that decouples the control plane from the data plane.It can centrally monitor and control the network through softwarization,i.e.,controller.Multiple controllers are a necessity of current SDN based WAN.Placing multiple controllers in an optimum way is known as controller placement problem(CPP).Earlier,solutions of CPP only concentrated on propagation latency but overlooked the capacity of controllers and the dynamic load on switches,which is a significant factor in real networks.In this paper,we develop a novel optimization algorithm named varna-based optimization(VBO)and use it to solve CPP.To the best of our knowledge,this is the first attempt to minimize the total average latency of SDN along with the implementation of TLBO and Jaya algorithms to solve CPP for all twelve possible scenarios.Our experimental results show that TLBO outperforms PSO,and VBO outperforms TLBO and Jaya algorithms in all scenarios for all topologies. 展开更多
关键词 SDN controller placement CPP latency VBO
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基于随机生成树的SDN控制平面冗余容错算法 认领 引用 被引量：1
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作者 郭小奉 庄毅 《计算机与现代化》 2025年第1期107-112,共6页
针对软件定义网络中控制平面容错布局问题,提出一种基于随机生成树的控制器布局算法DRT2CA(Minimum Two Covering Algorithm Based on Dynamic Random Spanning Tree)。该算法旨在保证冗余容错的前提下,最小化控制器数量,降低控制平面... 针对软件定义网络中控制平面容错布局问题,提出一种基于随机生成树的控制器布局算法DRT2CA(Minimum Two Covering Algorithm Based on Dynamic Random Spanning Tree)。该算法旨在保证冗余容错的前提下,最小化控制器数量,降低控制平面的部署成本。通过不断生成随机生成树,并在树上采用贪心策略进行控制器布局搜索,DRT2CA算法以更少的控制器实现最小的冗余容错覆盖,有效提高系统资源利用率。实验结果表明,在不同网络规模和控制器容量下,DRT2CA算法相较于现有的冗余控制器部署算法,能够以更少的控制器部署数量实现容错控制平面布局,具有更高的冗余布局效率,为构建高效、可靠的SDN控制平面提供了创新性的解决方案。 展开更多
关键词 软件定义网络 控制器放置问题 容错 最小二覆盖
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The controller placement problem or the controller selection problem? 认领 引用 被引量：2
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作者 Keshav Sood Yong Xiang 《Journal of Communications and Information Networks》 2017年第3期1-9,共9页
In SDN,the control logic of packet processing devices is moved onto the SDN centralized controller.This decoupled networking architecture creates some critical concerns when compared to traditional distributed archite... In SDN,the control logic of packet processing devices is moved onto the SDN centralized controller.This decoupled networking architecture creates some critical concerns when compared to traditional distributed architectures.One primary concern in this architecture is the placement of the controller,which is commonly known as the CPP.From our extensive literature review,we identify that there is no strict placement rule that best fits every network in SDN.Dynamic addition and deletion of controllers is inevitable.Motivated from this,in this paper,we attempt to transform the CPP into a CSP.We show that,in the dynamic SDN environment,researchers need to pay attention to CSP issues.The clear advantage of CSP over CPP is that,in the dynamic SDN ecosystem,we can answer fundamental questions about the control plane performance,i.e.,minimum number of controllers,their workload distribution,and placement/locations.Furthermore,we can meet strict,application-specific,QoS constraints. 展开更多
关键词 software-defined network controller placement problem flow balancing in SDN quality of service distributed networks future networks
SDN多控制器放置问题研究综述 认领 引用 被引量：10
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作者 贾吾财 吕光宏 +1 位作者 王桂芝 宋元隆 《计算机科学》 CSCD 北大核心 2020年第7期206-212,共7页
随着软件定义网络(Software Defined Network,SDN)的迅猛发展,单控制器部署的固有缺陷逐渐显露出来,多控制器部署已成为必然趋势。但由于控制器数量以及放置位置对网络性能具有决定性的影响,且在解决该问题时权衡因素多、计算复杂度高,... 随着软件定义网络(Software Defined Network,SDN)的迅猛发展,单控制器部署的固有缺陷逐渐显露出来,多控制器部署已成为必然趋势。但由于控制器数量以及放置位置对网络性能具有决定性的影响,且在解决该问题时权衡因素多、计算复杂度高,严重阻碍了SDN在数据中心和广域网的应用。首先阐述了放置问题的本质和通用的求解步骤;其次基于网络模型详述了部署策略的核心构件,即优化目标、搜索算法;然后综合国内外的研究,将部署策略分为静态部署和动态部署两大类,并着重对比了典型策略的优缺点;最后展望未来的研究方向。 展开更多
关键词 软件定义网络 多控制器 放置问题 优化目标 搜索算法
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高可靠性软件定义航空光信息网络的控制器分布优化策略 认领 引用 被引量：5
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作者 赵静 赵尚弘 +1 位作者 赵卫虎 李勇军 《系统工程与电子技术》 EI CSCD 北大核心 2018年第4期885-890,共6页
针对未来航空光信息网络中控制平面的可扩展性问题,基于软件定义网络思想,提出了软件定义航空光信息网络的网络架构,研究了软件定义航空光信息网络控制器部署策略。以网络节点及链路中断概率为参量,以航空网络的全网可靠性为优化目标,... 针对未来航空光信息网络中控制平面的可扩展性问题,基于软件定义网络思想,提出了软件定义航空光信息网络的网络架构,研究了软件定义航空光信息网络控制器部署策略。以网络节点及链路中断概率为参量,以航空网络的全网可靠性为优化目标,建立基于网络可靠性的整数规划模型;提出融合人工免疫策略、小生境思想和改进遗传算法的混合优化算法,获得控制器部署的最佳部署方案。仿真结果表明,基于可靠性的整数规划模型可实现对软件定义航空信息网络中的控制器部署问题准确建模,为实现控制器最优化部署提供了依据。 展开更多
关键词 软件定义网络 光链路 控制器部署问题 人工免疫 小生境 遗传算法
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软件定义网络中应用二值粒子群优化的控制器部署策略 认领 引用 被引量：7
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作者 王丽霞 曲桦 +1 位作者 赵季红 王力 《西安交通大学学报》 EI CAS CSCD 北大核心 2015年第6期67-71,共5页
为了确定控制器的最优化部署方案,构建软件定义网络中逻辑上集中、物理上分布的控制平面,提出软件定义网络中应用二值粒子群优化的控制器部署策略。对控制器部署问题建模,以交换机到控制器的平均时延最短以及在网络中部署的控制器数量... 为了确定控制器的最优化部署方案,构建软件定义网络中逻辑上集中、物理上分布的控制平面,提出软件定义网络中应用二值粒子群优化的控制器部署策略。对控制器部署问题建模,以交换机到控制器的平均时延最短以及在网络中部署的控制器数量较少为多优化目标。提出粒子重构机制,实现粒子群优化算法的二值化,用以表示控制器在网络中部署的位置。基于二值粒子群优化算法设计多优化目标的控制器部署策略,仿真得到控制器部署问题的非劣最优解集合,对应给定的控制器数量,得到平均时延最小的控制器部署方案。实验结果表明,应用二值粒子群优化的控制器部署策略联合考虑了控制器数量和交换机到控制器的平均时延,为实现控制器最优化部署提供了依据。 展开更多
关键词 控制器部署 软件定义网络 二值粒子群优化 非劣最优解集合
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SDN控制器部署中的可靠性优化研究 认领 引用 被引量：3
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作者 毛明 陈庶樵 崔世建 《电子技术应用》 北大核心 2017年第3期108-111,115,共4页
软件定义网络(SDN)将传统网络结构中的控制层和转发层解耦,其将所有转发设备与一个逻辑集中的控制器相连接。为避免网络规模不断扩大引起的单点失效,向分布式控制结构发展成为Open Flow广域网部署的趋势,其中控制层多控制器的部署问题是... 软件定义网络(SDN)将传统网络结构中的控制层和转发层解耦,其将所有转发设备与一个逻辑集中的控制器相连接。为避免网络规模不断扩大引起的单点失效,向分布式控制结构发展成为Open Flow广域网部署的趋势,其中控制层多控制器的部署问题是SDN设计中的一个关键环节。提出基于控制路径连通度的控制器部署方案来最大化SDN控制器部署的可靠性,并使用3种不同的算法对比控制器部署性能。仿真结果表明,该方案可以在可接受时延范围内提升部署SDN控制器的可靠性。 展开更多
关键词 SDN 控制器部署 可靠性优化 控制路径
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质量矩拦截弹的H∞鲁棒控制研究 认领 引用 被引量：3
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作者 张晓宇 王子才 《哈尔滨工程大学学报》 EI CAS 北大核心 2008年第1期50-55,共6页
以所建立的质量矩拦截弹数学模型为基础,通过对模型合理的简化,得到了一个耦合的非线性动力学系统.利用微分几何的反馈线性化理论,得到了一个解耦线性系统,考虑到拦截弹的鲁棒性要求和3个滑块的协调控制问题,为了提高系统的动态性能,采... 以所建立的质量矩拦截弹数学模型为基础,通过对模型合理的简化,得到了一个耦合的非线性动力学系统.利用微分几何的反馈线性化理论,得到了一个解耦线性系统,考虑到拦截弹的鲁棒性要求和3个滑块的协调控制问题,为了提高系统的动态性能,采用LMI区域进行闭环极点配置.同时,提出基于ITAE准则,考虑混合灵敏度问题,对权函数的选择等问题进行了研究,设计了具有鲁棒极点约束的质量矩拦截弹姿态控制系统,仿真结果验证了这种方法的有效性. 展开更多
关键词 质量矩拦截弹 反馈线性化 H∞控制 混合灵敏度S/R/T问题 极点约束
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软件定义网络分布式控制平面部署问题研究综述 认领 引用 被引量：1
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作者 毛明 陈庶樵 刘大虎 《信息工程大学学报》 2017年第2期212-217,222,共6页
介绍了分布式控制平面部署问题的产生,对目前的研究方法进行了分类,分析了目前研究中遇到的问题及解决方案,并对其今后的研究和发展进行了展望。
关键词 软件定义网络 分布式控制平面 部署方案 优化问题
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分布式SDN控制器放置问题研究 认领 引用 被引量：5
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作者 蔡宁 韩言妮 +1 位作者 安伟 徐震 《信息安全学报》 CSCD 2021年第2期46-72,共27页
软件定义网络(Software-Defined Networking,SDN)通过控制平面与数据平面的分离和逻辑集中的控制构建了新的网络范式。考虑性能、可扩展性和可靠性等方面的需求,大规模网络通常采用分布式SDN控制平面,即通过放置多个控制器共同管理整个... 软件定义网络(Software-Defined Networking,SDN)通过控制平面与数据平面的分离和逻辑集中的控制构建了新的网络范式。考虑性能、可扩展性和可靠性等方面的需求,大规模网络通常采用分布式SDN控制平面,即通过放置多个控制器共同管理整个网络。这需要确定控制器的放置数量、放置位置以及交换机到控制器的分配,从而实现网络的性能、可靠性、成本与能耗等方面的优化,这就是控制器放置问题。本文系统研究了分布式SDN控制器放置问题。首先,对控制器放置问题的各种优化指标进行详细介绍;其次,根据优化目标以及目标之间的权衡方式对已有研究提出的控制器放置方案进行归类、分析与总结;最后,讨论控制器放置问题的未来研究趋势。 展开更多
关键词 软件定义网络 控制器放置问题 性能 可靠性 成本与能耗
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基于网络拓扑划分的大规模SDN控制器部署 认领 引用 被引量：5
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作者 张元龙 廖晓群 张佳庚 《计算机工程与设计》 北大核心 2022年第9期2485-2492,共8页
为解决大规模SDN控制器部署受限于高复杂性和性能问题,提出一种基于网络拓扑划分的控制器部署策略Modified-Louvain。基于节点相似度重定义链路权重,引入社区容量尺度约束因子,实现不同子网络均衡划分;针对子网络中控制器与交换机间传... 为解决大规模SDN控制器部署受限于高复杂性和性能问题,提出一种基于网络拓扑划分的控制器部署策略Modified-Louvain。基于节点相似度重定义链路权重,引入社区容量尺度约束因子,实现不同子网络均衡划分;针对子网络中控制器与交换机间传播时延的最小化目标,通过启发式求解确定控制器部署位置。仿真结果表明,所提方法可有效处理大规模SDN控制器部署,在均衡控制器负载的同时最小化控制器与交换机间的传播时延,提供可靠部署策略。 展开更多
关键词 软件定义网络 网络拓扑 聚类算法 控制器部署 时延最小化
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定向增发、大股东控制权与企业创新研究 认领 引用 被引量：3
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作者 郑毅 夏俊梅 《科技促进发展》 CSCD 2020年第9期1070-1077,共8页
融资问题是企业创新面临的重要障碍,而代理问题是制约创新的重要原因。本文以我国A股上市公司为研究样本,实证分析了定向增发、大股东控制权与企业创新之间的关系。结论显示:定向增发对企业创新投入具有显著的促进作用;大股东参与定向... 融资问题是企业创新面临的重要障碍,而代理问题是制约创新的重要原因。本文以我国A股上市公司为研究样本,实证分析了定向增发、大股东控制权与企业创新之间的关系。结论显示:定向增发对企业创新投入具有显著的促进作用;大股东参与定向增发后的持股比例不同,对于研发投入决策的影响不同。本文首次从资金流转的视角研究企业创新面临的融资约束和代理问题,丰富了融资与企业创新的研究成果,同时,本文的研究结论对于上市公司有效运用定向增发融资决策和加强融资过程监管都具有借鉴意义。 展开更多
关键词 定向增发 大股东控制权 企业创新 股权再融资 代理问题
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基于智能算法的磁流变阻尼器位置优化 认领 引用
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作者 徐晓龙 孙炳楠 《江南大学学报（自然科学版）》 2008年第2期221-226,共6页
为了控制20层Benchmark建筑在地震作用下的非线性地震反应,采用改进的遗传算法确定MR阻尼器的优化设置位置.将标准遗传算法的遗传操作作相应改进,并进行给定数量的MR阻尼器优化配置的数值仿真分析,解决多约束非线性整数优化问题.结果表... 为了控制20层Benchmark建筑在地震作用下的非线性地震反应,采用改进的遗传算法确定MR阻尼器的优化设置位置.将标准遗传算法的遗传操作作相应改进,并进行给定数量的MR阻尼器优化配置的数值仿真分析,解决多约束非线性整数优化问题.结果表明,采用改进的遗传算法进行MR阻尼器位置设置优化后的半主动控制,能有效地降低结构在地震荷载作用下的响应,进一步提高了平均控制效果. 展开更多
关键词 半主动控制 Benchmark问题 磁流变阻尼器 改进的遗传算法 位置优化
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