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Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization

IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1458-1475页

作者： Jing Liang Hongyu Lin Caitong Yue Ponnuthurai Nagaratnam Suganthan yaonan wang School of Electrical and Information Engineering Zhengzhou UniversityZhengzhou 450001 School of Electrical Engineering and Automation Henan Institute of TechnologyXinxiang 453003China School of Electrical and Information Engineering Zhengzhou UniversityZhengzhou 450001China KINDI Center for Computing Research Qatar UniversityDohaQatarand also with the Nanyang Technology UniversitySingapore College of Electrical and Information Engineering and also with the National Engineering Research Center for Robot Visual Perception and Control TechnologyHunan UniversityChangsha 410082China IEEE

In multimodal multiobjective optimization problems(MMOPs),there are several Pareto optimal solutions corre-sponding to the identical objective *** paper proposes a new differential evolution algorithm to solve MMOPs with higher-dimensional decision *** to the increase in the dimensions of decision variables in real-world MMOPs,it is diffi-cult for current multimodal multiobjective optimization evolu-tionary algorithms(MMOEAs)to find multiple Pareto optimal *** proposed algorithm adopts a dual-population framework and an improved environmental selection *** utilizes a convergence archive to help the first population improve the quality of *** improved environmental selection method enables the other population to search the remaining decision space and reserve more Pareto optimal solutions through the information of the first *** combination of these two strategies helps to effectively balance and enhance conver-gence and diversity *** addition,to study the per-formance of the proposed algorithm,a novel set of multimodal multiobjective optimization test functions with extensible decision variables is *** proposed MMOEA is certified to be effective through comparison with six state-of-the-art MMOEAs on the test functions.

关键词： Benchmark functions diversity measure evolution-ary algorithms multimodal multiobjective optimization.

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无人飞行器在不确定扰动下的动态目标跟踪

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Engineering 2024年第4期35卷 74-85页

作者： Yanjie Chen Yangning Wu Limin Lan Hang Zhong Zhiqiang Miao Hui Zhang yaonan wang School of Mechanical Engineering and Automation Fuzhou UniversityFuzhou 350108China Department of Computer Science Aberystwyth UniversityAberystwyth SY233DBUK School of Robotics Hunan UniversityChangsha 410082China College of Electrical and Information Engineering Hunan UniversityChangsha 410082China National Engineering Research Center of Robot Visual Perception and Control Technology Hunan UniversityChangsha 410082China

This study proposes an image-based visual servoing(IBVS)method based on a velocity observer for an unmanned aerial vehicle(UAV)for tracking a dynamic target in Global Positioning System(GPS)-denied *** proposed method derives the simplified and decoupled image dynamics of underactuated UAVs using a constructed virtual camera and then considers the uncertainties caused by the unpredictable rotations and velocities of the dynamic target.A novel image depth model that extends the IBVS method to track a rotating target with arbitrary orientations is *** depth model ensures image feature accuracy and image trajectory smoothness in rotating target *** relative velocities of the UAV and the dynamic target are estimated using the proposed velocity *** to the velocity observer,translational velocity measurements are not required,and the control chatter caused by noise-containing measurements is *** integral-based filter is proposed to compensate for unpredictable environmental disturbances in order to improve the antidisturbance *** stability of the velocity observer and IBVS controller is analyzed using the Lyapunov *** simulations and multistage experiments are conducted to illustrate the tracking stability,anti-disturbance ability,and tracking robustness of the proposed method with a dynamic rotating target.

关键词： Unmanned aerial vehicle Visual servoing Velocity observer Target tracking

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无人机集群联合拓扑控制的智能路由规划方法

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通信学报 2024年第2期45卷 137-149页

作者：颜志易正伦欧阳博王耀南湖南大学电气与信息工程学院湖南长沙410082

针对现有无人机集群路由协议拓扑适变能力弱,易产生包重传、能量空洞和高时延,严重恶化了数据路由性能的问题,针对无人机集群中集群拓扑与路由的耦合特性,提出了一种联合拓扑控制的智能路由规划(IRPJTC)方法。该方法由基于虚拟力的自适... 详细信息

针对现有无人机集群路由协议拓扑适变能力弱,易产生包重传、能量空洞和高时延,严重恶化了数据路由性能的问题,针对无人机集群中集群拓扑与路由的耦合特性,提出了一种联合拓扑控制的智能路由规划(IRPJTC)方法。该方法由基于虚拟力的自适应拓扑控制(VFATC)和基于近端策略优化的地理路由规划(PPO-GRP)组成。其中,VFATC使各无人机根据邻居运动状态信息自适应调整与邻居的距离,保证集群中链路的稳定连接;进一步,PPO-GRP引入VFATC中的链路稳定性指标,并结合端到端时延与能耗指标,设计多目标奖励函数,采用深度强化学习中的近端策略优化算法训练路由策略。仿真实验结果表明,IRPJTC相比于现有路由方法,能在保证分组传输成功率的同时,使端到端时延降低12.11%,无人机集群能耗降低4.56%,且具备更强的能耗均衡能力。

关键词：无人机集群路由协议拓扑控制近端策略优化深度强化学习

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一种基于近端策略优化的服务功能链部署算法

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电子与信息学报 2024年第7期46卷 2869-2878页

作者：颜志禹怀龙欧阳博王耀南湖南大学大学电气与信息工程学院长沙410082

针对网络功能虚拟化(NFV)环境下高维度服务功能链(SFC)部署的高可靠低成本问题,该文提出了一种基于近端策略优化的服务功能链部署算法(PPO-ISRC)。首先综合考虑底层物理服务器特征和服务功能链特征,将服务功能链部署建模为马尔可夫决策... 详细信息

针对网络功能虚拟化(NFV)环境下高维度服务功能链(SFC)部署的高可靠低成本问题,该文提出了一种基于近端策略优化的服务功能链部署算法(PPO-ISRC)。首先综合考虑底层物理服务器特征和服务功能链特征,将服务功能链部署建模为马尔可夫决策过程,然后,以最大化服务率和最小化资源消耗为优化目标设置奖励函数,最后,采用近端策略优化方法对服务功能链部署策略求解。仿真实验结果表明,与启发式算法(FFD)和深度确定性策略梯度算法(DDPG)相比,所提算法具有收敛速度快,稳定性高的特点。在满足服务质量的要求下,降低了部署成本,并提高了网络服务可靠性。

关键词：网络功能虚拟化服务功能链深度强化学习近端策略优化

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基于激光联动扫描的单目动态三维主动热成像研究

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红外与激光工程 2024年第6期53卷 50-60页

作者：邓堡元何赟泽王洪金邓群王耀南湖南大学电气与信息工程学院湖南长沙410082 浙江工业大学信息工程学院浙江杭州310023

为了满足对非平面碳纤维复合材料无损检测的需求,文中提出了一种仅使用一台热像仪对运动试件进行主动三维热成像的系统,称为单目动态三维主动热成像。该系统融合了检测对象的三维轮廓与和主动热成像检测,能够对具有复杂几何形状的复合... 详细信息

为了满足对非平面碳纤维复合材料无损检测的需求,文中提出了一种仅使用一台热像仪对运动试件进行主动三维热成像的系统,称为单目动态三维主动热成像。该系统融合了检测对象的三维轮廓与和主动热成像检测,能够对具有复杂几何形状的复合材料试件进行检测,并给出直观的热成像缺陷检查结果。不同于传统的三维主动热成像检测方法需要额外的三维相机获取检测对象表面轮廓信息;该系统不需要独立的三维传感器,而热像仪同时作为三维传感器与温度传感器。为了实现这一功能,在线激光联动扫描热成像的基础上,文中提出了一个统一联动扫描模型和针孔相机投影模型的数学模型,将线激光作为主动热成像的热激励和三维重建的空间编码。在算法中,该模型实现了对重构热图序列和三维形状点云的无特征配准,该配准方法工作快速、稳健,不需要关键点。标准高度试件标定实验结果表明:在1~150mm的高度测量范围,平均误差0.16mm,最大误差不超过0.25 mm。碳纤维进气管实验表明,该方法具有大尺寸碳纤维复合材料三维温度场重建与检测检测能力。文中提出的单目三维动态热成像系统结构简单、工作稳定,可用于在生产线的三维测量、缺陷检测和质量控制。

关键词：红外无损检测缺陷检测激光联动扫描热成像三维热成像图像配准

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Parameter selection of support vector machine for function approximation based on chaos optimization

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Journal of Systems Engineering and Electronics 2008年第1期19卷 191-197页

作者： Yuan Xiaofang wang yaonan Coll. of Electrical & Information Engineering Hunan Univ. Changsha 410082 P. R. China

The support vector machine （SVM） is a novel machine learning method, which has the ability to approximate nonlinear functions with arbitrary accuracy. Setting parameters well is very crucial for SVM learning results and generalization ability, and now there is no systematic, general method for parameter selection. In this article, the SVM parameter selection for function approximation is regarded as a compound optimization problem and a mutative scale chaos optimization algorithm is employed to search for optimal paraxneter values. The chaos optimization algorithm is an effective way for global optimal and the mutative scale chaos algorithm could improve the search efficiency and accuracy. Several simulation examples show the sensitivity of the SVM parameters and demonstrate the superiority of this proposed method for nonlinear function approximation.

关键词： learning systems support vector machines (SVM) approximation theory parameter selection optimization.

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激光热成像无损检测研究进展(特邀)

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红外与激光工程 2024年第7期53卷 41-56页

作者：何赟泽陈琦王洪金邓堡元杨瑞珍王耀南湖南大学电气与信息工程学院湖南长沙410082 湖南大学土木工程学院湖南长沙410082

红外热成像是无损检测技术的典型代表。按有无外部激励源,红外热成像可大致分为被动式热成像与主动式热成像两类。其中,以激光作为激励源的主动式热成像,因其输出功率稳定、能量分布均匀、可控性强等诸多优势于近些年得到了广泛的应用... 详细信息

红外热成像是无损检测技术的典型代表。按有无外部激励源,红外热成像可大致分为被动式热成像与主动式热成像两类。其中,以激光作为激励源的主动式热成像,因其输出功率稳定、能量分布均匀、可控性强等诸多优势于近些年得到了广泛的应用。文中首先介绍了激光热成像无损检测系统的构成与激光热成像的分类,并进一步探讨了激光热成像无损检测系统的优化与相关图像处理方法,并从应用角度对现有主要研究工作进行了综述、分析、总结与对比。目前,基于激光热成像的无损检测方法在实际应用过程中存在精度不够,效率偏低,检测对象受限等问题。为提升检测效果,研究人员从激励方式、检测条件、图像处理等方面出发提出了多类优化策略。随着新一代信息技术的发展与检测技术精度要求的提高,激光热成像无损检测从裂纹等表面缺陷的检测,拓展至包括分层、脱粘等内部缺陷检测,从缺陷定性分析拓展至缺陷定量计算,从二维缺陷识别拓展至三维缺陷重构。通过详细分析现有研究,认为提升激光源性能、开发小型便携式激光器、结合智能算法的三维缺陷定量检测等是激光热成像无损检测未来的发展方向。

关键词：无损检测激光热成像缺陷检测红外图像处理

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New mixed broadcast scheduling approach using neural networks and graph coloring in wireless sensor network

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Journal of Systems Engineering and Electronics 2009年第1期20卷 185-191页

作者： Zhang Xizheng wang yaonan Dept. of Computer Science Hunan Inst. of Engineering Xiangtan 411104 P. R. China School of Electrical and Information Engineering Hunan Univ. Changsha 410082 P. R. China

Due to the mutual interference and sharing of wireless links in TDMA wireless sensor networks, conflicts will occur when data messages are transmitting between nodes. The broadcast scheduling problem （BSP） is aimed to schedule each node in different slot of fixed length frame at least once, and the objective of BSP is to seek for the optimal feasible solution, which has the shortest length of frame slots, as well as the maximum node transmission. A two-stage mixed algorithm based on a fuzzy Hopfield neural network is proposed to solve this BSP in wireless sensor network. In the first stage, a modified sequential vertex coloring algorithm is adopted to obtain a minimal TDMA frame length. In the second stage, the fuzzy Hopfleld network is utilized to maximize the channel utilization ratio. Experimental results, obtained from the running on three benchmark graphs, show that the algorithm can achieve better performance with shorter frame length and higher channel utilizing ratio than other exiting BSP solutions.

关键词： wireless sensor network broadcast scheduling fuzzy Hopfield network graph coloring.

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Effective method for tracking multiple objects in real-time visual surveillance systems

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Journal of Systems Engineering and Electronics 2009年第6期20卷 1167-1178页

作者： wang yaonan Wan Qin Yu Hongshan Coll. of Electrical and Information Engineering Hunan Univ. Changsha 410082 P. R. China

An object model-based tracking method is useful for tracking multiple objects, but the main difficulties are modeling objects reliably and tracking objects via models in successive frames. An effective tracking method using the object models is proposed to track multiple objects in a real-time visual surveillance system. Firstly, for detecting objects, an adaptive kernel density estimation method is utilized, which uses an adaptive bandwidth and features combining colour and gradient. Secondly, some models of objects are built for describing motion, shape and colour features. Then, a matching matrix is formed to analyze tracking situations. If objects are tracked under occlusions, the optimal ＂visual＂ object is found to represent the occluded object, and the posterior probability of pixel is used to determine which pixel is utilized for updating object models. Extensive experiments show that this method improves the accuracy and validity of tracking objects even under occlusions and is used in real-time visual surveillance systems.

关键词： visual surveillance multiple object tracking object model matching matrix.

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Boundary Gap Based Reactive Navigation in Unknown Environments

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IEEE/CAA Journal of Automatica Sinica 2021年第2期8卷 468-477页

作者： Zhao Gao Jiahu Qin Shuai wang yaonan wang the Department of Automation University of Science and Technology of ChinaHefei 230027China the College of Electrical and Information Engineering Hunan UniversityChangsha 410082 the National Engineering Laboratory for Robot Visual Perception and Control Technology Changsha 410082China

Due to the requirements for mobile robots to search or rescue in unknown environments,reactive navigation which plays an essential role in these applications has attracted increasing ***,most existing reactive methods are vulnerable to local minima in the absence of prior knowledge about the *** paper aims to address the local minimum problem by employing the proposed boundary gap(BG)based reactive navigation ***,the narrowest gap extraction algorithm(NGEA)is proposed to eliminate the improper ***,we present a new concept called boundary gap which enables the robot to follow the obstacle boundary and then get rid of local ***,in order to enhance the smoothness of generated trajectories,we take the robot dynamics into consideration by using the modified dynamic window approach(DWA).Simulation and experimental results show the superiority of our method in avoiding local minima and improving the smoothness.

关键词： Boundary gap local minima reactive navigation unknown environments

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