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Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization

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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 vector.This paper proposes a new differential evolution algorithm to solve MMOPs with higher-dimensional decision variables.Due 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 solutions.The proposed algorithm adopts a dual-population framework and an improved environmental selection method.It utilizes a convergence archive to help the first population improve the quality of solutions.The 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 population.The combination of these two strategies helps to effectively balance and enhance conver-gence and diversity performance.In addition,to study the per-formance of the proposed algorithm,a novel set of multimodal multiobjective optimization test functions with extensible decision variables is designed.The 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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An evaluation model for smart grids in support of smart cities based on the Hierarchy of Needs Theory

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Global Energy Interconnection 2023年第5期6卷 634-644页

作者： hongyu lin Wei Wang Yajun Zou Hongyi Chen School of Management Harbin Institute of TechnologyHarbin 150000P.R.China Global Energy Interconnection Development and Cooperation Organization Beijing 100031P.R.China Mechanical and Industrial Engineering Department University of MinnesotaDuluth MN55812USA

Smart cities depend highly on an intelligent electrical networks to provide a reliable,safe,and clean power supplies.A smart grid achieves such aforementioned power supply by ensuring resilient energy delivery,which presents opportunities to improve the cost-effectiveness of power supply and minimize environmental impacts.A systematic evaluation of the comprehensive benefits brought by smart grid to smart cities can provide necessary theoretical fundamentals for urban planning and construction towards a sustainable energy future.However,most of the present methods of assessing smart cities do not fully take into account the benefits expected from the smart grid.To comprehensively evaluate the development levels of smart cities while revealing the supporting roles of smart grids,this article proposes a model of smart city development needs from the perspective of residents’needs based on Maslow’s Hierarchy of Needs theory,which serves the primary purpose of building a smart city.By classifying and reintegrating the needs,an evaluation index system of smart grids supporting smart cities was further constructed.A case analysis concluded that smart grids,as an essential foundation and objective requirement for smart cities,are important in promoting scientific urban management,intelligent infrastructure,refined public services,efficient energy utilization,and industrial development and modernization.Further optimization suggestions were given to the city analyzed in the case include strengthening urban management and infrastructure constructions,such as electric vehicle charging facilities and wireless coverage.

关键词： Smart city Smart grid Evaluation index system Hierarchy of needs Benefits of smart grid

Comment on “Acid-induced tunable white light emission based on triphenylamine derivatives”

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Chinese Chemical Letters 2022年第2期33卷 573-574页

作者： hongyu lin Zhaochao Xu Shanghai Key Laboratory of Green Chemistry and Chemical Processes School of Chemistry and Molecular EngineeringEast China Normal UniversityShanghai 200062China CAS Key Laboratory of Separation Science for Analytical Chemistry Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China

We comment the recent paper which reported a series of TPA derivatives to show acid-induced tunable white light emission.

关键词： Triphenlamine Metallacages Metallacycles White light Fluorescence

A Model for Helmet-Wearing Detection of Non-Motor Drivers Based on YOLOv5s

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Computers, Materials & Continua 2023年第6期75卷 5321-5336页

作者： hongyu lin Feng Jiang Yu Jiang Huiyin Luo Jian Yao Jiaxin Liu College of Computer&Information Engineering Central South University of Forestry and TechnologyChangsha410004China

Detecting non-motor drivers’helmets has significant implications for traffic control.Currently,most helmet detection methods are susceptible to the complex background and need more accuracy and better robustness of small object detection,which are unsuitable for practical application scenar-ios.Therefore,this paper proposes a new helmet-wearing detection algorithm based on the You Only Look Once version 5(YOLOv5).First,the Dilated convolution In Coordinate Attention(DICA)layer is added to the backbone network.DICA combines the coordinated attention mechanism with atrous convolution to replace the original convolution layer,which can increase the perceptual field of the network to get more contextual information.Also,it can reduce the network’s learning of unnecessary features in the background and get attention to small objects.Second,the Rebuild Bidirectional Feature Pyramid Network(Re-BiFPN)is used as a feature extraction network.Re-BiFPN uses cross-scale feature fusion to combine the semantic information features at the high level with the spatial information features at the bottom level,which facilitates the model to learn object features at different scales.Verified on the proposed“Helmet Wearing dataset for Non-motor Drivers(HWND),”the results show that the proposed model is superior to the current detection algorithms,with the mean average precision(mAP)of 94.3%under complex background.

关键词： Helmet-wearing detection dilated convolution feature pyramid network feature fusion

Multicolor^(19)F magnetic resonance imaging:A promising medical technique for in vivo visualization of multiple biological targets

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Fundamental Research 2023年第4期3卷 529-533页

作者： Yuhang Jiang Xiangjie Luo Limin Chen hongyu lin Jinhao Gao The MOE Key Laboratory of Spectrochemical Analysis&Instrumentation Fujian Provincial Key Laboratory of Chemical Biologyand Department of Chemical BiologyCollege of Chemistry and Chemical EngineeringXiamen UniversityXiamen 361005China

Driven by the needs of precision medicine,current imaging techniques are under continuous development to offer more accurate and comprehensive information beyond traditional macroscopic anatomical images.Multispectral color-coded(multicolor)^(19)F magnetic resonance imaging(MRI)is receiving increasing attention owing to its capability for visualizing quantitative and multiplexed molecular information during various biological processes.The chemical design and preparation of^(19)F probes lie at the core of multicolor^(19)F MRI since their performance dominates the accomplishment of this technique.Herein,the working principles of multicolor^(19)F MRI are briefly introduced.Recent progress on multicolor^(19)F MRI probes for simultaneous in vivo visualization of multiple biological targets is summarized.Finally,current challenges and potential solutions in this fast-developing field are discussed.

关键词： ^(19)F magnetic resonance imaging Medical imaging technique Multicolor^(19)F probes In vivo visualization Multiplexed imaging

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卷烟厂卷包车间工人违规作业行为检测方法

计算机科学 2024年第S1期51卷 541-548页

作者：刘恒林虹宇吴涛西南石油大学电气信息学院成都610500

小目标检测一直是目标检测领域的难点,针对卷烟厂卷包车间摄像头安装位置较高、小目标检测精度低和总体检测精度较低的问题,提出了一种改进的YOLOv8n目标检测算法YOLOv8n-FIAL。首先使用添加通道重排机制的C2fg模块代替原本C2f模块,提... 详细信息

小目标检测一直是目标检测领域的难点,针对卷烟厂卷包车间摄像头安装位置较高、小目标检测精度低和总体检测精度较低的问题,提出了一种改进的YOLOv8n目标检测算法YOLOv8n-FIAL。首先使用添加通道重排机制的C2fg模块代替原本C2f模块,提高特征学习能力,使用自适应通道特征融合模块代替YOLOv8n算法Neck部分的Concate操作,使特征融合更加充分;然后增加小目标检测层,提高小目标检测精度,降低漏检率;最后使用Focal-EIOU损失函数替换原来的CIOU损失函数,平衡锚框与真实框重叠较大的高质量锚框的数量远少于低质量锚框训练实例不平衡的问题。实验结果表明,在自制的卷烟厂工人违规作业数据集上,所提出的YOLOv8n-FIAL检测方法相比原始的YOLOv8n方法的总体平均精度均值提升了7.6%,对口鼻、手拿手机和衣服领口这3类小目标平均精度均值提升最大,分别提升了8.3%,8%和9.6%;在公共数据集VOC2007上,YOLOv8n-FIAL算法相比YOLOv8n算法的总体平均精度均值提升了1.6%。

关键词：卷包车间小目标检测 YOLOv8n YOLOv8n-FIAL 自适应通道特征融合模块

Innovative Practices of Project“Recall”:The Effect of Integration of Employment Big Data Analysis into the Classroom for the Training of Professional Talents

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Journal of Contemporary Educational Research 2023年第11期7卷 54-58页

作者： Chen Ji Wei Zhao hongyu lin Jilin University of Arts Changchun 130021Jilin ProvinceChina Sichuan Fine Arts Institute Chongqing 401331China

With the emphasis on using technological innovation and digital transformation to generate new development momentum,the Ministry of Education issued the“Code for the Construction of Digital Campuses in Colleges and Universities”in March 2021,which clarified the talent training path for innovative exploration of education mode under the informatization condition.In the process of exploring new methods of talent training models in the digital age,this article uses employment big data to enter the classroom,triggering changes in classroom teaching interaction methods,and then accumulates summary records of a series of research experience,in the hope that more research can extend on this result.

关键词： Teaching reform Communication Employment big data

计及低碳经济运行的含风电微网群源储协同日前优化调度

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动力工程学报 2024年第3期44卷 462-474页

作者：姚路锦王玮林宏宇刘吉臻华北电力大学新能源电力系统国家重点实验室北京102206 华北电力大学经济与管理学院北京102206

海陆风电的大规模开发并网给电网的稳定带来挑战,微电网是解决分布式发电系统优化运行问题的有效途径。综合考虑微电网群的系统运行经济性和碳排放环境效益,提出了基于分布式共享储能的交互型微网群低碳日前调度模型。首先考虑风电的不... 详细信息

海陆风电的大规模开发并网给电网的稳定带来挑战,微电网是解决分布式发电系统优化运行问题的有效途径。综合考虑微电网群的系统运行经济性和碳排放环境效益,提出了基于分布式共享储能的交互型微网群低碳日前调度模型。首先考虑风电的不确定性,基于传统实时电价提出跟随微网净负荷的定价策略;随后根据微网群用户的负荷特点定义了价格型和激励型需求响应用户满意度;然后通过生命周期评价方法划分系统运行环节的碳排放链,引入阶梯碳交易机制构建碳排放成本模型;最后基于微网群的交互运行,利用分布式储能资源进行日前优化调度。仿真算例表明:对比独立型微网群,所提出的交互型调度模型消除了原有的弃风情况,碳排放量减少32.14 t、系统运行总成本缩减15.05%。

关键词：微网群分布式共享储能价格机制日前调度需求响应用户满意度阶梯碳价

考虑全生命周期碳排放的电氢耦合VPP调度优化

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电力建设 2024年第4期45卷 13-25页

作者：闫庆友党嘉璐林宏宇郑浩伟华北电力大学经济与管理学院北京市102206 国网经济技术研究院有限公司北京市102209

随着可再生能源的大规模开发、高比例并网,虚拟电厂逐渐成为充分发挥新型电力系统经济-环境效益的关键技术之一,文章重点研究了电氢耦合虚拟电厂多目标优化问题。首先,构建了含分布式风光机组、微型燃气轮机、分布式储能、柔性负荷的电... 详细信息

随着可再生能源的大规模开发、高比例并网,虚拟电厂逐渐成为充分发挥新型电力系统经济-环境效益的关键技术之一,文章重点研究了电氢耦合虚拟电厂多目标优化问题。首先,构建了含分布式风光机组、微型燃气轮机、分布式储能、柔性负荷的电氢耦合虚拟电厂。其次,运用多主体全生命周期法计算得到虚拟电厂构成组件的碳排放系数,并将其与阶梯式碳交易机制联合引入优化模型中。然后,以系统内运行成本最小和二氧化碳排放量最低为目标函数,通过赋权法将多目标优化转为单目标优化。最后选取华北某园区夏季、过渡季、冬季3个典型场景为算例分析验证所构建模型的有效性,算例结果表明该模型能兼顾虚拟电厂内部各设备主体运行的经济利益和环境效益。

关键词：虚拟电厂多目标优化全生命周期碳交易电转氢