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feedback mechanism-driven Mutation Reptile Search Algorithm for Optimizing Interpolation Developable Surfaces

Journal of Bionic Engineering 2024年第1期21卷 527-571页

作者： Gang Hu Jiao Wang Xiaoni Zhu Muhammad Abbas Department of Applied Mathematics Xi'an University of TechnologyXi'an 710054China School of Mechanical and Precision Instrument Engineering Xi'an University of TechnologyXi'an 710048China Department of Mathematics University of SargodhaSargodha 40100Pakistan

Curvature lines are special and important curves on *** is of great significance to construct developable surface interpolated on curvature lines in engineering *** this paper,the shape optimization of generalized cubic ball developable surface interpolated on the curvature line is studied by using the improved reptile search ***,based on the curvature line of generalized cubic ball curve with shape adjustable,this paper gives the construction method of SGC-Ball developable surface interpolated on the ***,the feedback mechanism,adaptive parameters and mutation strategy are introduced into the reptile search algorithm,and the feedback mechanism-driven improved reptile search algorithm effectively improves the solving *** IEEE congress on evolutionary computation 2014,2017,2019 and four engineering design problems,the feedback mechanism-driven improved reptile search algorithm is compared with other representative methods,and the result indicates that the solution performance of the feedback mechanism-driven improved reptile search algorithm is *** last,taking the minimum energy as the evaluation index,the shape optimization model of SGC-Ball interpolation developable surface is *** developable surface with the minimum energy is achieved with the help of the feedback mechanism-driven improved reptile search algorithm,and the comparison experiment verifies the superiority of the feedback mechanism-driven improved reptile search algorithm for the shape optimization problem.

关键词： Reptile search algorithm feedback mechanism Adaptive parameter Mutation strategy SGC-Ball interpolation developable surface Shape optimization

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Analysis of epidemic spreading with feedback mechanism in weighted networks

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International Journal of Biomathematics 2015年第1期8卷 81-91页

作者： Jiancheng Zhang Jitao Sun Department of Mathematics Tongji University Shanghai 200092 P. R. China

In this paper, we investigate a new model with a generalized feedback mechanism in weighted networks. Compare to previous models, we consider the initiative response of people and the important impact of nodes with different edges on transmission rate as epidemics prevail. Furthermore, by constructing Lyapunov function, we prove that the disease-free equilibrium E^0 is globally asymptotically stable as the epidemic threshold R^＊〈 1. When R^＊〉 1, we obtain the permanence of epidemic and the local stability of endemic equilibrium E＊. Finally, one can find a good agreement between numerical simulations and our analytical results.

关键词： SIS model weighted network feedback mechanism global analysis

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Controlling disease spread on networks with feedback mechanism

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Chinese Physics B 2007年第9期16卷 2498-2502页

作者：王俐颜家壬张建国刘自然 Department of Physics Hunan Normal University Changsha 410081 China

Many real-world networks have the ability to adapt themselves in response to the state of their nodes. This paper studies controlling disease spread on network with feedback mechanism, where the susceptible nodes are able to avoid contact with the infected ones by cutting their connections with probability when the density of infected nodes reaches a certain value in the network. Such feedback mechanism considers the networks＇ own adaptivity and the cost of immunization. The dynamical equations about immunization with feedback mechanism ave solved and theoretical predictions are in agreement with the results of large scale simulations. It shows that when the lethality a increases, the prevalence decreases more greatly with the same immunization g. That is, with the same cost, a better controlling result can be obtained. This approach offers an effective and practical policy to control disease spread, and also may be relevant to other similar networks.

关键词： complex network systems disease spread feedback mechanism

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Feed back mechanism in Decision Support Systems

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Journal of Systems Engineering and Electronics 1997年第2期8卷 53-59页

作者： Sun Zhanshan(Institute of SE. Dalian Maritime University, 116024, P. R. China) Institute of SE. Dalian Maritime University 116024 P. R. China

feedback mechanism is a specific feature of control systems, however, the similarity has been found in decision support systems. Just because of this, the DSS can provide a flexible learning and thinking environment, and help decision maker to solve semistructured and unstructured problems actively and creatively. In this paper, the role and type of the feedback in decision making are discussed from different point of view. This is also true in DSS because it supports decision making. The feedback design, especially the feedback interface design, is described through a case of practice DSS. Based on these points, the feedback mechanism is an important feature of DSS, and it is one of the differences between DSS and MIS.

关键词： feedback mechanism Decision making Decision support system feedback interface design.

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A consensus model for group decision making under interval type-2 fuzzy environment

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Frontiers of Information Technology & Electronic Engineering 2016年第3期17卷 237-249页

作者： Xiao-xiong ZHANG Bing-feng GE Yue-jin TAN College of Information System and Management National University of Defense Technology Changsha 410073 China

We propose a new consensus model for group decision making(GDM) problems, using an interval type-2 fuzzy environment. In our model, experts are asked to express their preferences using linguistic terms characterized by interval type-2 fuzzy sets(IT2 FSs), because these can provide decision makers with greater freedom to express the vagueness in real-life situations. Consensus and proximity measures based on the arithmetic operations of IT2 FSs are used simultaneously to guide the decision-making process. The majority of previous studies have taken into account only the importance of the experts in the aggregation process, which may give unreasonable results. Thus, we propose a new feedback mechanism that generates different advice strategies for experts according to their levels of importance. In general, experts with a lower level of importance require a larger number of suggestions to change their initial preferences. Finally, we investigate a numerical example and execute comparable models and ours, to demonstrate the performance of our proposed model. The results indicate that the proposed model provides greater insight into the GDM process.

关键词： Group decision making (GDM) Interval type-2 fuzzy sets (IT2 FSs) feedback mechanism

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MSLFuzzer:black-box fuzzing of SOHO router devices via message segment list inference

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Cybersecurity 2024年第4期7卷 89-109页

作者： Yixuan Cheng Wenqing Fan Wei Huang Jingyu Yang Gaoqing Yu Wen Liu State Key Laboratory of Media Convergence and Communication Communication Universityof ChinaBeijingChina School of Computer and Cyber Sciences Communication University of ChinaBejingChina

The popularity of small office and home office routers has brought convenience,but it also caused many security issues due to ***-box fuzzing through network protocols to discover vulnerabilities becomes a viable *** main drawbacks of state-of-the-art black-box fuzzers can be summarized as ***,the feedback process neglects to discover the mising felds in the raw ***,the guidance of the raw message content in the mutation process is ***,the randomized validity of the test case structure can cause most fuzzing tests to end up with an invalid response of the tested *** address these challenges,we propose a novel black-box fuzzing framework called MSL *** Fuzzer infers the raw message structure according to the response from a tested device and generates a message segment ***,MSL Fuzzer performs semantic,sequence,and stability analyses on each message segment to enhance the complementation of missing fields in the raw message and guide the mutation *** construct a dataset of 35 real-world vulnerabilities and evaluate MSL *** evaluation results show that MSL Fuzzer can find more vulnerabilities and elicit more types of responses from fuzzing ***,MSL Fuzzer successfully discovered 10 previously unknown vulnerabilities.

关键词： Vulnerability discovery Black-box fuzzing SOHO routers feedback mechanism

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Support optimal scheduling with weighted random forest for operation resources

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Control Theory and Technology 2021年第4期19卷 484-498页

作者： Li Li Qingyun Yu Haoyi Shi Yuguang Liu College of Electronics and Information Engineering Tongji UniversityShanghai 201804China

Operation-related resources are lots of manpower and material with the characteristics of high cost and high income in hospitals,and scheduling optimization is a very important research issue in medical *** this paper,to cope with the actualities of operation resources scheduling,such as poor planning,lack of standardized scheduling rules,chaotic use of the operating rooms,and many human interference factors,we propose a systematic approach to optimize scheduling problems based on multiple characteristics of operating *** frst design a framework that includes the composite dispatching rules(CDR),optimization ideology,and feedback mechanism,in which the CDR integrates fexible operating time,hold-up time of medical facilities,available time of medical staf,and multiple *** optimization ideology is carried out through a learning model based on the weighted random forest(WRF)*** feedback mechanism enables the approach to realize closed-loop optimizations ***,the superiority of the systematic scheduling approach(SSA)is analyzed through numerical experiments on a simulation *** of the simulation experiments show that the proposed scheduling method can improve performances signifcantly,especially in the waiting time of patients.

关键词： Scheduling Operation resources Composite dispatching rules feedback mechanism

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Attribution of Persistent Precipitation in the Yangtze–Huaihe River Basin during February 2019

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Advances in Atmospheric Sciences 2020年第12期37卷 1389-1404页

作者： Zhixuan WANG Jilin SUN Jiancheng WU Fangyue NING Weiqi CHEN College of Oceanic and Atmospheric Sciences Ocean University of ChinaQingdao 266100China Key laboratory of Physical Oceanography Ocean University of ChinaQingdao 266100China Zhangzhou Meteorological Observatory Zhangzhou Meteorological BureauZhangzhou 363000China Huaan Meteorological Observatory Huaan Meteorological BureauZhangzhou 363800China

In February 2019,a month-long persistent precipitation event occurred in the Yangtze–Huaihe River *** geopotential height field that affected the duration of this frontal rainfall was divided into a high-latitude part and a lowlatitude part for *** the high-latitude part,a two-wave structure led to quasi-stationary circulation,and the change of both the blocking high pressure and Arctic Oscillation phase caused cold air to invade South China continuously and changed the frontal *** mid-to-low latitudes,the persistent precipitation showed quasi-biweekly oscillation *** so-called“subtropical high–precipitation–anticyclone”(SHPA)feedback mechanism blocked the circulation systems in the mid-to-low latitudes and provided a continuous supply of water vapor for *** for the effect of sea surface temperature,the western North Pacific anomalous anticyclone stimulated by El Niño strengthened the intensity of the southerly wind and provided support for the redevelopment of the anticyclone system in the SHPA feedback *** sea surface temperature anomaly in the South China Sea provided sensible heating for precipitation,and convergent rising airflow was conducive to the occurrence of ***,the SHPA mechanism provides a reliable basis for the prediction of persistent precipitation in winter in the mid-to-low latitudes.

关键词： persistent precipitation feedback mechanism latent heat

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A Large-Scale Group Decision Making Model Based on Trust Relationship and Social Network Updating

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Computer Modeling in Engineering & Sciences 2024年第1期138卷 429-458页

作者： Rongrong Ren Luyang Su Xinyu Meng Jianfang Wang Meng Zhao School of Business Administration Northeastern UniversityShenyang110819China School of Management Northeastern University at QinhuangdaoQinhuangdao066004China School of Modern Logistics Shanxi Vocational University of Engineering Science and TechnologyTaiyuan030031China Business School Sichuan UniversityChengdu610064China

With the development of big data and social computing,large-scale group decisionmaking(LGDM)is nowmerging with social *** social network analysis(SNA),this study proposes an LGDM consensus model that considers the trust relationship among decisionmakers(DMs).In the process of consensusmeasurement:the social network is constructed according to the social relationship among DMs,and the Louvain method is introduced to classify social networks to form *** this study,the weights of each decision maker and each subgroup are computed by comprehensive network weights and trust *** the process of consensus improvement:A feedback mechanism with four identification and two direction rules is designed to guide the consensus of the improvement *** on the trust relationship among DMs,the preferences are modified,and the corresponding social network is updated to accelerate the *** with the previous research,the proposedmodel not only allows the subgroups to be reconstructed and updated during the adjustment process,but also improves the accuracy of the adjustment by the ***,an example analysis is conducted to verify the effectiveness and flexibility of the proposed ***,compared with previous studies,the superiority of the proposed method in solving the LGDM problem is highlighted.

关键词： Large-scale group decision making social network updating trust relationship group consensus feedback mechanism

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A Stable and Energy-Efficient Routing Algorithm Based on Learning Automata Theory for MANET

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Journal of Communications and Information Networks 2018年第2期3卷 43-57页

作者： Sheng Hao Huyin Zhang Mengkai Song School of Computer Wuhan UniversityWuhan 430079China

The mobile Ad Hoc network(MANET)is a self-organizing and self-configuring wireless network,consisting of a set of mobile *** design of efficient routing protocols for MANET has always been an active area of *** existing routing algorithms,however,the current work does not scale well enough to ensure route stability when the mobility and distribution of nodes vary with *** addition,each node in MANET has only limited initial energy,so energy conservation and balance must be taken into *** efficient routing algorithm should not only be stable but also energy saving and balanced,within the dynamic network *** address the above problems,we propose a stable and energy-efficient routing algorithm,based on learning automata(LA)theory for ***,we construct a new node stability measurement model and define an effective energy ratio *** that basis,we give the node a weighted value,which is used as the iteration parameter for ***,we construct an LA theory-based feedback mechanism for the MANET environment to optimize the selection of available routes and to prove the convergence of our *** experiments show that our proposed LA-based routing algorithm for MANET achieved the best performance in route survival time,energy consumption,energy balance,and acceptable per-formance in end-to-end delay and packet delivery ratio.

关键词： MANET routing stability measurement model effective energy ratio function learning automata theory feedback mechanism optimization

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