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Enhancing Evolutionary Algorithms With Pattern Mining for Sparse Large-Scale Multi-Objective Optimization Problems

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1786-1801页

作者： sheng Qi Rui Wang Tao Zhang Weixiong huang Fan Yu Ling Wang College of Systems Engineering National University of Defense TechnologyChangsha 410073China College of Systems Engineering National University of Defense TechnologyChangsha 410073and also with the Xiangjiang LaboratoryChangsha 410205China College of Transportation and Engineering Central South UniversityChangsha 410073China Department of Automation Tsinghua UniversityBeijing 100084China

Sparse large-scale multi-objective optimization problems(SLMOPs)are common in science and ***,the large-scale problem represents the high dimensionality of the decision space,requiring algorithms to traverse vast expanse with limited computational ***,in the context of sparse,most variables in Pareto optimal solutions are zero,making it difficult for algorithms to identify non-zero variables *** paper is dedicated to addressing the challenges posed by *** start,we introduce innovative objective functions customized to mine maximum and minimum candidate *** substantial enhancement dramatically improves the efficacy of frequent pattern *** this way,selecting candidate sets is no longer based on the quantity of nonzero variables they contain but on a higher proportion of nonzero variables within specific ***,we unveil a novel approach to association rule mining,which delves into the intricate relationships between non-zero *** novel methodology aids in identifying sparse distributions that can potentially expedite reductions in the objective function *** extensively tested our algorithm across eight benchmark problems and four real-world *** results demonstrate that our approach achieves competitive solutions across various challenges.

关键词： Evolutionary algorithms pattern mining sparse large-scale multi-objective problems(SLMOPs) sparse large-scale optimization.

零售商竞争下基于微分对策的制造商回收控制策略

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系统工程 2015年第8期33卷 24-32页

作者：黄宗盛王罕代云珍上海海事大学经济管理学院上海201306 西南交通大学经济管理学院四川成都610031

围绕零售商竞争下闭环供应链系统中制造商的最优回收控制策略,构建制造商回收的闭环供应链微分对策模型,求解得出供应链各方的最优控制策略。研究发现:当回收成本系数不那么低时系统存在稳态均衡,仅在一定的最优控制策略下系统收敛到稳... 详细信息

围绕零售商竞争下闭环供应链系统中制造商的最优回收控制策略,构建制造商回收的闭环供应链微分对策模型,求解得出供应链各方的最优控制策略。研究发现:当回收成本系数不那么低时系统存在稳态均衡,仅在一定的最优控制策略下系统收敛到稳态均衡。此时,系统的产品回收率随时间推移而增大;制造商的最优回收投入随时间推移而增大,而最优批发价格则随时间推移而减小;零售商的最优零售价格随时间推移而减小,产品销售速率则随时间推移而增大。制造商的最优控制策略及系统的产品回收率与零售商之间的市场份额分配无关。市场份额在两个零售商之间的分配情况仅影响各自的价格策略及利润情况。

关键词：闭环供应链微分对策开环控制策略制造商回收竞争性零售商

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基于综合评价法的洞庭湖区绿地生态网络构建

应用生态学报 2020年第8期31卷 2687-2698页

作者：李晟李涛彭重华黄宗胜齐增湘中南林业科技大学风景园林学院长沙410004 南华大学建筑学院湖南衡阳421001 中国科学院生态环境研究中心城市与区域生态国家重点实验室北京100085 贵州大学建筑与城市规划学院贵阳550002

绿地生态网络对于改善区域生态空间破碎化、生物多样性降低、生态系统服务供需不平衡及保障区域生态安全具有重要意义。本研究以洞庭湖区为例,在3S技术支持下,从生态系统服务功能、潜在生物多样性、形态空间格局的角度综合评价和识别生... 详细信息

绿地生态网络对于改善区域生态空间破碎化、生物多样性降低、生态系统服务供需不平衡及保障区域生态安全具有重要意义。本研究以洞庭湖区为例,在3S技术支持下,从生态系统服务功能、潜在生物多样性、形态空间格局的角度综合评价和识别生态源地及计算栅格单元的基本生态阻力;利用夜间灯光指数修正基本生态阻力;运用最小累积阻力模型识别生态廊道;构建加权评价模型,对源地的聚合度、离散度及廊道的生态连接贡献度进行评价;利用结构特征指数对综合网络、"源-汇"潜在网络及规划网络进行对比分析和评价。结果表明:源地空间分布不均衡,林地、灌丛与水域三者面积之和占源地总面积的95.9%,位于研究区中部的洞庭湖湿地生态风险较高;源地离生态网络系统中心位置越近及到其他源地的平均最小累积阻力越小,聚合及离散的优势越强;高生态质量源地周围的中、高生态质量源地分布越密集,其聚合度、离散度越高;廊道离高生态质量的源地越近,表现为生态连接贡献度越大;林地、灌丛,尤其是河道在自然生态系统与人类社会系统之间起着非常重要的生态连接作用;"源-汇"规划绿道对"源-汇"潜在生态廊道形成了良好补充,与"源-汇"潜在网络相比,综合网络的α、β、γ、ρ指数分别提高123.1%、25.8%、26.2%、74.6%;与"源-汇"规划网络相比,α、β、γ、ρ指数分别提高了190.0%、31.1%、32.5%、114.6%。本研究结果能为洞庭湖区绿地生态网络构建、国土空间规划提供参考。

关键词：绿地生态网络源-汇潜在廊道规划绿道综合评价法洞庭湖区

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基于粗糙集和DEA方法的低碳经济评价模型

软科学 2014年第3期28卷 16-20页

作者：黄宗盛刘盾胡培西南交通大学经济管理学院成都610031

将粗糙集理论和DEA方法引入到低碳经济评价中,建立基于DEA模型的低碳经济投入—产出指标体系。选取投入产出指标作为条件属性,选取DEA效率评价指标作为决策属性,通过粗糙集理论对投入产出属性进行约简,得到低碳经济DEA模型的关键属性,... 详细信息

将粗糙集理论和DEA方法引入到低碳经济评价中,建立基于DEA模型的低碳经济投入—产出指标体系。选取投入产出指标作为条件属性,选取DEA效率评价指标作为决策属性,通过粗糙集理论对投入产出属性进行约简,得到低碳经济DEA模型的关键属性,并进行规则挖掘。利用我国30个地区的低碳经济数据对模型的合理性和有效性进行验证。

关键词：数据包络分析粗糙集低碳经济评价模型碳排放

Metal-free Optical Pressure Sensor with High Sensitivity and Extensive Range

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1291-1300页

作者： Mao Ji Meng huang Haomin Lyu sheng Shi Bo Qi Chengrong Li State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China IEEE CSEE

Pressure monitoring of a transformer oil tank can grasp the pressure change process caused by gas production when severe internal defects occur and take timely measures to ensure the safe operation of the *** pressure sensors generally use metal encapsulation or have an air cavity structure,threatening the transformer’s insulation if it is directly used inside the *** this end,this paper proposes a method for developing a high-sensitivity,large-range,and metallizationfree optical pressure sensing device with temperature *** grating is encapsulated by fluorosilicone rubber and supplemented by an epoxy resin shielding shell on the *** the same time,a double-grating vertical arrangement is adopted to improve pressure measurement sensitivity,further avoiding the influence of temperature rise caused by a defect of the transformer on the measurement result of the *** addition,by optimizing the geometric structure of the internal sensitizing element,pre-stretching length of the fiber grating,gap distance,and other parameters,probe size can be reduced while ensuring the sensor’s *** show the proposed method can meet the requirements of sensor fabrication with different sensitivities and ranges,and to a certain extent,both high sensitivity and extensive ranges can be taken into *** sensitivity of the fabricated prototype is 15 pm/kPa,and the range is about 0.2 *** the same time,the metal-free feature of the sensor makes it suitable for use in various oil-immersed power *** records oil pressure changes caused by oil discharge breakdown,making it sensitive to small pressure changes in early failures.

关键词： Highly sensitive extensive range optical sensing no metallization pressure perception temperature compensation transformer

喀斯特森林植被自然恢复中凋落物现存量及其碳库特征演化

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林业科学研究 2013年第1期26卷 8-14页

作者：黄宗胜符裕红喻理飞贵州大学林学院贵州贵阳550025 贵州大学土木建筑工程学院贵州贵阳550025

采用空间代替时间的方法,研究了茂兰退化喀斯特森林自然恢复中凋落物现存量及其碳库特征。结果表明:随群落恢复凋落物现存量呈减少趋势,早期减幅大,中后期减幅小;随群落恢复凋落物现存量演化受地貌因子、群落生活史、土壤微生物的影响较... 详细信息

采用空间代替时间的方法,研究了茂兰退化喀斯特森林自然恢复中凋落物现存量及其碳库特征。结果表明:随群落恢复凋落物现存量呈减少趋势,早期减幅大,中后期减幅小;随群落恢复凋落物现存量演化受地貌因子、群落生活史、土壤微生物的影响较大,受水热条件的影响较小;凋落物现存量生物量与其分解失重率、表层土壤微生物量碳有较强的负相关关系;凋落物分解失重率与表层土壤微生物量碳呈极强的正相关关系;随群落恢复凋落物现存量含碳率变化不显著,凋落物现存量碳密度变化规律与凋落物现存量变化规律一致,单位面积凋落物碳储量表现为碳源效应,且早期碳源效应较强、固碳能力不稳定,中后期碳源效应较弱、固碳能力稳定;凋落物碳密度(Y)与其现存生物量(x)的关系:Y=bo+b1x(bo、b1为常数)。

关键词：凋落物现存量凋落物现存量碳库特征自然恢复喀斯特森林

Intermolecular Acid-Base-Pairs Containing Poly(p-Terphenyl-co-Isatin Piperidinium) for High Temperature Proton Exchange Membrane Fuel Cells

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Energy & Environmental Materials 2024年第3期7卷 410-418页

作者： Xiaofeng Hao Zhen Li Min Xiao Zhiheng huang Dongmei Han sheng huang Wei Liu Shuanjin Wang Yuezhong Meng The Key Laboratory of Low-carbon Chemistry & Energy Conservation of Guangdong Province State Key Laboratory of Optoelectronic Materials and TechnologiesSchool of Materials Science and EngineeringSun Yat-sen University School of Chemical Engineering and Technology Sun Yat-sen University Institute of Chemistry Henan Provincial Academy of Sciences Research Center of Green Catalysts College of ChemistryZhengzhou University

How to optimize and regulate the distribution of phosphoric acid in matrix,and pursuing the improved electrochemical performance and service lifetime of high temperature proton exchange membrane （HT-PEMs） fuel cell are significant ***,bifunctional poly （p-terphenyl-co-isatin piperidinium） copolymer with tethered phosphonic acid （t-PA） and intrinsic tertiary amine base groups are firstly prepared and investigated as *** distinctive architecture of the copolymer provides a well-designed platform for rapid proton *** not only transports through the hydrogen bond network formed by the adsorbed free phosphoric acid （f-PA）anchored by the tertiary amine base groups,but also rely upon the proton channel constructed by the ionic cluster formed by the t-PA *** the design of the structure,the bifunctional copolymers with lower PA uptake level （<100%） display prominent proton conductivities and peak power densities (99 mS cm-1,812 mW cm-2at 160℃),along with lower PA leaching and higher voltage stability,which is a top leading result in disclosed *** results demonstrate that the design of intermolecular acid-base-pairs can improve the proton conductivity without sacrificing the intrinsic chemical stability or mechanical property of the thin membrane,realizing win-win demands between the mechanical robustness and electrochemical properties of HT-PEMs.

关键词： bifunctional copolymer high temperature proton exchange membrane intermolecular acid–base-pairs phosphonic acid retention phosphonic acid uptake level

考虑消费者满意的强势零售商自有品牌导入策略分析

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软科学 2019年第1期33卷 109-113页

作者：肖建敏黄宗盛青岛大学商学院山东青岛266071 上海海事大学经济管理学院上海201306

研究了强势零售商关于自有品牌导入的策略选择及最优定价问题。分别探讨了零售商未导入自有品牌以及导入自有品牌后供应链双方在零售商领导下的最优定价策略,分析了不同参数对双方最优策略的影响,通过比较分析探讨了零售商自有品牌导入... 详细信息

研究了强势零售商关于自有品牌导入的策略选择及最优定价问题。分别探讨了零售商未导入自有品牌以及导入自有品牌后供应链双方在零售商领导下的最优定价策略,分析了不同参数对双方最优策略的影响,通过比较分析探讨了零售商自有品牌导入对供应链成员最优定价及利润水平的影响。研究发现,只要现实中消费者对自有品牌的偏好高于一定水平,零售商就可以导入自有品牌,并且会促使制造商品牌的产品价格下降;当消费者对零售商自有品牌偏好度较低时,会有利于制造商的利益。实践中零售商在导入自有品牌时应当相对于制造商品牌进行一定的差异化定位,此时对于供应链双方均有利。

关键词：自有品牌强势零售商消费者效用定价

Relative difficulty distillation for semantic segmentation

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Science China(Information Sciences) 2024年第9期67卷 126-145页

作者： Dong LIANG Yue SUN Yun DU Songcan CHEN sheng-Jun huang MIIT Key Laboratory of Pattern Analysis and Machine Intelligence College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Shenzhen Research Institute Nanjing University of Aeronautics and Astronautics

Current knowledge distillation(KD) methods primarily focus on transferring various structured knowledge and designing corresponding optimization goals to encourage the student network to imitate the output of the teacher network. However, introducing too many additional optimization objectives may lead to unstable training, such as gradient conflicts. Moreover, these methods ignored the guidelines of relative learning difficulty between the teacher and student networks. Inspired by human cognitive science, in this paper, we redefine knowledge from a new perspective — the student and teacher networks' relative difficulty of samples, and propose a pixel-level KD paradigm for semantic segmentation named relative difficulty distillation(RDD). We propose a two-stage RDD framework: teacher-full evaluated RDD(TFE-RDD) and teacher-student evaluated RDD(TSE-RDD). RDD allows the teacher network to provide effective guidance on learning focus without additional optimization goals, thus avoiding adjusting learning weights for multiple losses. Extensive experimental evaluations using a general distillation loss function on popular datasets such as Cityscapes, Cam Vid, Pascal VOC, and ADE20k demonstrate the effectiveness of RDD against state-ofthe-art KD methods. Additionally, our research showcases that RDD can integrate with existing KD methods to improve their upper performance bound. Codes are available at https://***/sunyueue/***.

关键词： knowledge distillation semantic segmentation relative difficulty sample weighting prediction discrepancy