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Fractional Order Differential Evolution

IEEE Transactions on Evolutionary Computation 2024年第3期29卷 1-1页

作者： Wang, Kaiyu Gao, Shangce Zhou, MengChu Zhan, Zhi-Hui Cheng, Jiujun Faculty of Engineering University of Toyama Toyama-shi Japan Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA College of Artificial Intelligence Nankai University Tianjin China Ministry of Education Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China

Differential evolution (DE) is a widely recognized method to solve complex optimization problems as shown by many researchers. Yet, non-adaptive versions of DE suffer from insufficient exploration ability and uses no historical information for its performance enhancement. This work proposes Fractional Order Differential Evolution (FODE) to enhance DE performance from two aspects. Firstly, a bi-strategy co-deployment framework is proposed. The population-based and parameter-based strategies are combined to leverage their respective advantages. Secondly, the fractional order calculus is first applied to the differential vector to enhance DE’s exploration ability by using the historical information of populations, and ensures the diversity of population in an evolutionary process. We use the 2017 IEEE Congress on Evolutionary Computation (CEC) test functions, and CEC2011 real-world problems to evaluate FODE’s performance. Its sensitivity to parameter changes is discussed and an ablation study of multi-strategies is systematically performed. Furthermore, the variations of exploration and exploitation in FODE are visualized and analyzed. Experimental results show that FODE is superior to other state-of-the-art DE variants, the winners of CEC competitions, other fractional order calculus-based algorithms, and some powerful variants of classic algorithms. IEEE

关键词： Particle swarm optimization (PSO)

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Average vector field methods for the coupled Schrdinger KdV equations

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Chinese Physics B 2014年第7期23卷 242-250页

作者：张弘宋松和陈绪栋周炜恩 Department of Mathematics and System Science College of ScienceNational University of Defense Technology State Key Laboratory of High Performance Computing National University of Defense Technology

The energy preserving average vector field （AVF） method is applied to the coupled Schr6dinger-KdV equations. Two energy preserving schemes are constructed by using Fourier pseudospectral method in space direction discretization. In order to accelerate our simulation, the split-step technique is used. The numerical experiments show that the non-splitting scheme and splitting scheme are both effective, and have excellent long time numerical behavior. The comparisons show that the splitting scheme is faster than the non-splitting scheme, but it is not as good as the non-splitting scheme in preserving the invariants.

关键词： coupled Schrodinger-KdV equations average vector field method splitting method Fourier pseu-dospectral method

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A Theoretical Framework for Value Co-creation Analysis of Ecological Interaction between 6G and Its Enabling Technologies 24

A Theoretical Framework for Value Co-creation Analysis of Ec...

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Proceedings of the 2024 10th International Conference on Communication and Information Processing

作者： Jiao Zhang Xuyu Zhao Fengshuai Du Xinyue Yan Tianjian Yang Haiyan Yan Jiayin Qi School of Economics and Management Beijing University of Posts and Telecommunications Beijing Beijing China China Mobile Research Institute Beijing Beijing China Scienze Politiche e delle relazioni internazionali University of Palermo Palermo Italy and Huangpu Research School of Guangzhou University Guangzhou University Guangzhou Guangdong China School of Management Fudan University Shanghai Shanghai China School of Management Shanghai University of International Business and Economics Shanghai Shanghai China Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou Guangdong China and Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing Beijing China

ISBN: (纸本)9798400717444

As demand for communication increases in terms of rate, reliability and security, 6G networks will provide more extreme communication experiences and richer communication services. It is therefore crucial that 6G enabling technologies are developed in order to meet the performance requirements of 6G networks. This study firstly analyses the core elements and development of the 6G ecosystem, and secondly reviews the ecological interactions of 6G and its enabling technologies. Notably, this study, based on the resource orchestration theory, has explored the three-phase evolution and value co-creation of the ecological interactions of 6G and its enabling technologies and provides a summary of the challenges for future development. The study is expected to provide theoretical support for the future system planning and evolutionary development of 6G ecology and its enabling technology ecology.

关键词： 6G ecology

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A new clustering classification approach based on FCR

A new clustering classification approach based on FCR

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2010 7th International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2010

作者： Zhang, De-Gan Liu, Weiwei Kang, Xuejing Chen, Ying Dai, Wenbo Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology 300191 China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education 300191 China

ISBN: (纸本)9781424459346

A new clustering classification approach based on fuzzy closeness relationship (FCR) is studied in this paper. As we know, fuzzy clustering classification is one of important and valid methods to knowledge discovery. One of problems in fuzzy clustering classification is to determine a certain fuzzy sample classification in given limited sample space. Another is its validity, that is to say, if the sample is resemble in sample space, its fuzzy type will be resemble too. In our research, firstly, using triangle arithmetic operator and triangle transference, we extend fuzzy equivalence relationship to fuzzy closeness relationship, and cluster. Secondly, importing fuzzy coverage based on fuzzy closeness relationship, we judge resemble type of resemble sample. Thirdly, we introduce the clustering classification method based on fuzzy closeness relationship and fuzzy coverage. The method can overcome information more loss in fuzzy equivalence. Finally, we test its feasibility. The approach is applied to knowledge discovery for risk prediction of electronic commerce market, good result has been gotten. ©2010 IEEE.

关键词： Fuzzy clustering

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Petri net-based scheduling analysis of dual-arm cluster tools with wafer revisiting

Petri net-based scheduling analysis of dual-arm cluster tool...

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2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012

作者： Qiao, Yan Wu, Naiqi Zhou, Mengchu Department of Industrial Engineering School of Electro-Mechanical Engineering Guangdong University of Technology Guangzhou 510006 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China

ISBN: (纸本)9781467304283

With wafer revisit, it is complicated to schedule cluster tools in semiconductor fabrication. In wafer fabrication processes, such as atomic layer deposition (ALD), the wafers need to visit some process modules for a number of times. The existing swap-based strategy can be used to operate a dual-arm cluster tool for such a process. It results in a 3-wafer cyclic schedule. However, it is not optimal in the sense of cycle time. Thus, to search for a better schedule, a Petri net model is developed for a dual-arm cluster tool with wafer revisit. With it, the properties of the 3-wafer schedule are analyzed. It is found that, to improve the performance, it is necessary to reduce the number of wafers completed in a cycle. Thus, a 1-wafer schedule is developed by using a new swap-based strategy. © 2012 IEEE.

关键词： Petri nets

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Multi-symplectic method for the coupled Schrdinger–KdV equations

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Chinese Physics B 2014年第8期23卷 226-232页

作者：张弘宋松和周炜恩陈绪栋 Department of Mathematics and System Science College of Science National University of Defense Technology State Key Laboratory of High Performance Computing National University of Defense Technology

In this paper, we present a multi-symplectic Hamiltonian formulation of the coupled Schrtidinger-KdV equations （CS＇KE） with periodic boundary conditions. Then we develop a novel multi-symplectic Fourier pseudospectral （MSFP） scheme for the CSKE. In numerical experiments, we compare the MSFP method with the Crank-Nicholson （CN） method. Our results show high accuracy, effectiveness, and good ability of conserving the invariants of the MSFP method.

关键词： coupled Schr/Sdinger-KdV equations multi-symplectic Fourier pseudospectral method

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Statistical static timing analysis for circuit aging prediction

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The Journal of China Universities of Posts and Telecommunications 2021年第2期28卷 14-23页

作者： Duan Shengyu Zhai Dongyao Lu Yue Shanghai Engineering Research Center of Intelligent Computing System Shanghai UniversityShanghai 200444China State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190China School of Electronics and Computer Science University of SouthamptonSouthamptonUK

Complementary metal oxide semiconductor(CMOS)aging mechanisms including bias temperature instability(BTI)pose growing concerns about circuit *** results in threshold voltage increases on CMOS transistors,causing delay shifts and timing violations on logic *** amount of degradation is dependent on the circuit workload,which increases the challenge for accurate BTI aging prediction at the design *** this paper,a BTI prediction method for logic circuits based on statistical static timing analysis(SSTA)is proposed,especially considering the correlation between circuit workload and BTI *** consists of a training phase,to discover the relationship between circuit scale and the required workload samples,and a prediction phase,to present the degradations under different workloads in Gaussian probability *** method can predict the distribution of degradations with negligible errors,and identify 50%more BTI-critical paths in an affordable time,compared with conventional methods.

关键词： bias temperature instability(BTI) reliability prediction statistical static timing analysis(SSTA)

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Android Malware Detection Using Ensemble Learning on Sensitive APIs 1st

Android Malware Detection Using Ensemble Learning on Sensiti...

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1st EAI International Conference on Edge computing and IoT: systems, Management and Security, ICECI 2020

作者： Yu, Junhui Zhao, Chunlei Zheng, Wenbai Li, Yunlong Zhang, Chunxiang Chen, Chao Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin300384 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Ministry of Education Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9783030734282

In recent years, with the quiet popularity of mobile payment methods, mobile terminal equipment also have potential security problems while facilitating people’s lives. Behavior-based Android malware detection is mostly based on permission analysis and API calls. In this paper, we propose a static Android malicious detection scheme based on sensitive API calls. We extracted all APIs called in the experimental samples through decompilation, and then calculated and ranked the threats related to these APIs according to the mutual information model, selected the top 20 sensitive API calls, and generated a 20-dimensional feature vector for each application. In the classification process, an integrated learning model based on DT classifier, kNN classifier and SVM classifier is used to effectively detect unknown APK samples. We collected 516 benign samples and 528 malicious samples. Through a large number of experiments, the results show that the accuracy of our scheme can be up to 94%, and the precision is up to 95%. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Android malware

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Android Malware Detection Based on Sensitive Permissions and APIs 2nd

Android Malware Detection Based on Sensitive Permissions and...

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2nd EAI International Conference on Security and Privacy in New computing Environments, SPNCE 2019

作者： Zhao, Chunhui Wang, Chundong Zheng, Wenbai Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin300384 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Ministry of Education Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9783030213725

With the widespread use of the Android operating system, the number of applications based on the Android platform is growing. How to effectively identify malware is critical to the security of phones. This paper proposes an Android malware detection method based on the combination of sensitive permissions and API features. This method extracts the permission features and API features by decompiling the APK file, and then uses the mutual information to select sensitive permissions and APIs as feature sets. On this basis, an ensemble learning model based on decision tree classifier and KNN classifier is used to quickly and accurately detect unknown APKs. The experimental results show that the discriminative accuracy of the proposed method is higher than that of the permission set or the API set alone, and the accuracy rate can reach up to 95.5%. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Android malware

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A new routing and connectivity availability metric of low duty cycle random sleep scheduled multi-hop wireless sensor networks

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Journal of China Universities of Posts and Telecommunications 2011年第SUPPL.2期18卷 101-108页

作者： Zhang, Tian-Le Yuan, Yu-Yu Wu, Xu Luo, Zong-Wei Wang, Chun-Lu Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing University of Posts and Telecommunications Beijing 100876 China E-Business Technology Institute University of Hong Kong Hong Kong Hong Kong

Wireless sensor network (WSN) is attracting intensive interests in many application areas. In some scenarios such as monitoring of the coal-mining area or remote area, nodes seldom move and may switch from sleeping to waking mode to minimize power consumption. Energy conservation design for the network lifetime extension is the primary issue. By adopting sleep scheduling to keep low duty cycle can help reduce the energy consumption. Random sleep scheduling is a desirable mechanism for its simplicity and guaranteed stable low duty cycle. Moreover, the low duty cycle sleeping of nodes may destroy the connectivity of network. Most of existing WSN routing techniques are designed for fully connected networks assuming that the nodes of the routing path between source and destination are all available at the same time. Maintaining fully connected backbone involves high duty cycle and costly clock synchronization which consumes more energy. If certain delay is tolerant, partially connected routing can achieve successful packet forwarding in networks with the deficiency of connectivity. In this paper a new partially connected routing and simple random sleep scheduling scheme is proposed for WSN with low duty cycle. A continuous time Markov chains (CTMC) connectivity availability model is introduced to evaluate the end to end packet delivery ratio of multi-hop networks subjected to the impact of both frequent disconnection and random sleep latency. The proposed connectivity availability model can also be used as the key metric for route path selection to achieve stable and high performance. Deployment guidelines are given for WSN with random sleep scheduling policy satisfying reliability, timeliness and duty cycle requirements. By modeling and simulation, we find that as compared to the fully connected routing protocol, the partially connected routing design can achieve much higher packet delivery ratio and lower duty cycle within the tolerant delay. The computation and simul

关键词： Energy utilization

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