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USING RESERVES OF COMPUTING optimization TO SOLVE COMPLEX PROBLEMS

CYBERNETICS AND SYSTEMS ANALYSIS 2019年第1期55卷 40-54页

作者： Zadiraka, V. K. Natl Acad Sci Ukraine VM Glushkov Inst Cybernet Kiev Ukraine

The paper considers stages of the development of studies in computing optimization in Ukraine (in particular, at the V.M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine) related to elements of error theory, computational algorithms that are optimal in accuracy and time, high-tech computer technologies for solving problems in computational and applied mathematics with given values of quality characteristics.

关键词： computational algorithm approximate solution approximate solution error algorithm optimization reserves of computing optimization computer technologies

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optimization of broadcasting scheme for the CASoRT system

Optimization of broadcasting scheme for the CASoRT system

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IEEE 75th Vehicular Technology Conference (VTC Spring)

作者： Hou, Shuo Zhong, Xiaofeng Mei, Shunliang Tsinghua Univ Dept Elect Engn Tsinghua Natl Lab Informat Sci & Technol State Key Lab Microwave & Digital Commun Beijing 100084 Peoples R China

ISBN: (纸本)9781467309905;9781467309882

Content Aware Soft Real Time Media Broadcast (CASoRT) is a new solution for information service of cellular network. As the similar distribution of users interest, the data of same content may be accessed and retransmitted frequently in cellular network during certain period of time, which caused the dissipation of both energy and spectrum efficiency. With the development of Data Mining, the CASoRT system could discovers the users common interests and broadcast such content to users who may be interested in. With those users accessing the content locally, the potential retransmission could be avoided and thus it could save energy from carriers view while providing the same real time experience to the users. In this paper, we propose a set of algorithm for the optimization of broadcasting scheme for the CASoRT system to achieve more energy efficiency.

关键词： broadcasting Information Services algorithm optimization Cellular networks time periods Energy sources

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Newton-Geodesic HMP algorithms for the optimization of Hybrid Systems and the Geometric Properties of Hybrid Value Functions

Newton-Geodesic HMP Algorithms for the Optimization of Hybri...

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51st IEEE Annual Conference on Decision and Control (CDC)

作者： Taringoo, Farzin Caines, Peter E. McGill Univ Dept Elect & Comp Engn Montreal PQ Canada McGill Univ Ctr Intelligent Machines Montreal PQ Canada

ISBN: (纸本)9781467320665

This paper provides algorithms for the optimization of autonomous hybrid systems based on the geometrical properties of switching manifolds. The first and second sections of the paper introduce optimal hybrid control systems and the third section presents the Newton-Geodesic-Hybrid Minimum Principle (HMP) which is an extension of the Gradient Geodesic-HMP algorithm in [4]. In the fourth section, we extend the analysis yielding the Newton-Geodesic-HMP algorithm to relate the difference of the curvatures of the ambient and switching manifolds to second order variations of the hybrid value function. Finally an example is given to illustrate the results.

关键词： hybrid systems Hybrid control systems Manifolds algorithm optimization algorithms

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optimization of electrical stimulation parameters based on the primary motor cortex 21

Optimization of electrical stimulation parameters based on t...

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21st IEEE International Conference on Mechatronics and Automation (IEEE ICMA)

作者： Xiao, Yuanyuan Guo, Xin Li, Zengyong Hebei Univ Technol Sch Artificial Intelligence & Data Sci Tianjin Peoples R China Minist Educ Engn Res Ctr Intelligent Rehabil Device & Detect Tianjin Peoples R China Qinhuangdao Res Inst Natl Rehabil Aids Res Ctr Qinhuangdao Hebei Peoples R China Natl Res Ctr Rehabil Aids Beijing Peoples R China

ISBN: (纸本)9798350388084;9798350388077

Transcranial electrical stimulation refers to the transmission of weak electrical currents to the brain through scalp electrodes to induce neuromodulatory effects. Current usually passes through two large electrodes, generating a diffusion electric field. In this article, we propose a new paradigm where multiple small electrodes with independent current control are systematically optimized to generate targeted and effective stimuli under safety constraints. We used finite element method combined with a model based on human head magnetic resonance imaging to develop a linear system that correlates the applied scalp current with the generated electric field. Then apply optimization techniques to derive yield increasing parameters that maximize intensity or focus at the target location. The results indicate that the optimal electrode structure is closely related to the required electric field orientation and optimization criteria. The two optimization methods used have achieved good results.

关键词： Transcranial electrical stimulation real head model electric field simulation algorithm optimization

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Annealing-behaved 100-Digit challenge problem optimization 9

Annealing-behaved 100-Digit challenge problem optimization

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International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)

作者： Wei, Chenglong Wang, Gai-Ge Ocean Univ China Informat Sci & Engn Qingdao Peoples R China

In this paper, we optimized PSO by quantum behavior and optimized KH by simulated annealing, so a new hybrid algorithm, named Annealing Krill Quantum Particle Swarm optimization algorithm (AKQPSO), is proposed, and it is based on annealing krill herd algorithm (AKH) and quantum particle swarm optimization algorithm (QPSO). QPSO has better performance in exploitation and AKH has better performance in exploration, so AKQPSO proposed on this basis increases the diversity of population individuals, and shows better performance in both exploitation and exploration. In addition, the quantum behavior increased the diversity of the population, and the simulated annealing strategy made the algorithm avoid falling into the local optimal value, which made the algorithm obtain better performance. The test set used in this paper is a classic 100 -Digit Challenge problem, which is proposed at 2019 IEEE Congress on Evolutionary Computation (CEC 2019), and AKQPSO has achieved better performance on the benchmark problems.

关键词： Swarm intelligence annealing-behaved quantum-behaved algorithm optimization

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algorithmS FOR SOLVING UNCONSTRAINED optimization PROBLEMS 12

ALGORITHMS FOR SOLVING UNCONSTRAINED OPTIMIZATION PROBLEMS

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12th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)

作者： Kuang, Ping Zhao, Qin-Min Xie, Zhen-Yu Univ Elect Sci & Technol China Sch Informat & Software Engn Chengdu 611731 Peoples R China

ISBN: (纸本)9781467382663

The computational method of unconstrained optimization problem is an important research topic in the field of numerical computation. It is of great significance to solve the problem of unconstrained optimization. There are many ways that are applied to settle these questions, so we need to choose a method which owns much fast er and less complex trait. Furthermore, in order to solve this rubs, this paper presents a comparative study of the common algorithms and our approach which are used to handle some concrete unconstrained optimization problems.

关键词： Unconstrained optimization problem algorithm optimization optimization method

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Sdn Multi Network Element Routing optimization Strategy In 5g Scenario 6

Sdn Multi Network Element Routing Optimization Strategy In 5...

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6th IEEE Advanced Information Technology, Electronic and Automation Control Conference (IEEE IAEAC)

作者： Yan, Chungang Sheng, Shuo Tongji Univ Minist Educ Key Lab Embedded Syst & Serv Comp Shanghai Peoples R China

ISBN: (数字)9781665458641

ISBN: (纸本)9781665458641

With the introduction of many new features of 5g and the gradual promotion of 5g test and pre commercial plan, the 5g oriented bearer network architecture and technical solution have become the focus of the industry. Correspondingly, the management and control technology of the bearer network has also appeared many new features. 5g network involves wireless, core network and bearer network, and supports a variety of network application scenarios at the same time. It is the basic demand of 5g bearer network collaborative management and control to realize end-to-end network and business collaboration through SDN architecture and improve the automatic opening and deployment of services and intelligent operation and maintenance capabilities. This paper proposes a multi-path routing optimization algorithm based on 5g + Sdn. Compared with traditional algorithms, the optimization algorithm has obvious improvement in cost, energy consumption awareness and load balancing.

关键词： 5G SDN algorithm optimization Route optimization strategy

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Self-collision Detection optimization Method in the Arm Clothes Simulation 1

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Joint Conference of the 16th Asia Simulation Conference / SCS International Autumn Simulation Multi-Conference (AsiaSim/SCS AutumnSim)

作者： Bing, He Yue, Lv Mi, Jing Beihang Univ Sch Comp Sci & Engn Beijing Peoples R China

ISBN: (数字)9789811026669

ISBN: (纸本)9789811026669;9789811026652

This paper implements the self-collision detection optimization during the clothes simulation, including the high-level and low-level tailoring optimization. During the high-level tailoring stage, this paper firstly implements the basic high-level tailoring in combination with the hierarchical bounding box algorithm and continuous normal vector cone information. On this basis, this paper implements the high-level tailoring optimization based on the radiation angle. Finally, this paper implements the high-level tailoring optimization based on the isolated set. During the low-level tailoring stage, this paper firstly implements the low-level tailoring optimization based on the characteristic distribution. In addition, this paper also implements the low-level tailoring optimization based on the non-coplanar filter. Experiment result shows that the two level tailoring optimization method in this paper can effectively cut off the redundant and non-collision primitive pair and further improve the efficiency of self-collision detection.

关键词： Cloth simulation Low-level tailoring Self-collision detection High-level tailoring algorithm optimization

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optimization analysis of intelligent myoelectric control

Optimization analysis of intelligent myoelectric control

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2nd IEEE International Conference on Intelligent Systems

作者： Venkataramanan, S Kalpakam, NV Samant, A IITG Dept Elect & Commun Engn BTech Program Assam India

ISBN: (纸本)0780382781

Myoelectric control refers to the use of processed Electromyogram (EMG) signals in the operation of devices external to the human body. It finds numerous applications requiring good precision, quick response, design flexibility and ease in control. A variety of myoelectric controller algorithms exist, but there is immense scope for optimization. This paper proposes an intelligent system which is capable of optimizing the system speed and the number of actions that can be selected. Such an optimization involves rigorous mathematical analysis of the characteristics and the inter-dependence of these two parameters. The intelligent systems employ a technique to continuously monitor the actions that are performed. Accordingly, they allocate the least selection duration to those actions that are executed the most number of times. This process has been termed as self-preferential time allocation and is achieved by a combination of spatial and temporal coding. Here, the temporal priorities are reassigned preferentially to spatially coded signals. Such systems that employ self-preferential time allocation eliminate the need for constant re-programming and the design of individually programmed myoelectric controllers. The introduction of a scaling factor also induces intelligence to the system, resulting in fast, flexible and self-regulating myoelectric controllers.

关键词： algorithm optimization intelligent systems myoelectric control self-preferential time allocation

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optimization of Hardware-oblivious and Hardware-conscious Hash-join algorithms on KNL 4

Optimization of Hardware-oblivious and Hardware-conscious Ha...

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4th International Conference on Cloud Computing and Internet of Things (CCIOT)

作者： Tang, Deyou Zhang, Yazhuo Zeng, Qingmiao South China Univ Technol Sch Software Engn Guangzhou 510006 Peoples R China

ISBN: (纸本)9781728143972

Investigation of hash join algorithm on multicore and many-core platforms showed that carefully tuned hash join implementations could outperform simple hash joins on most multi-core servers. However, hardware-oblivious hash join has shown competitive performance on many-core platforms. Knights Landing (KNL) has received attention in the field of parallel computing for its massively data-parallel nature and high memory bandwidth, but both hardware-oblivious and hardware-conscious hash join algorithms have not been systematically discussed and evaluated for KNL's characteristics (high bandwidth, cluster mode, etc.). In this paper, we present the design and implementation of the state-of-the-art hardware-oblivious and hardware-conscious hash joins that are tuned to exploit various KNL hardware characteristics. Using a thorough evaluation, we show that:1) Memory allocation strategies based on KNL's architecture are effective for both hardware-oblivious and hardware-conscious hash join algorithms;2) In order to improve the efficiency of the hash join algorithms, hardware architecture features are still non-negligible factors.

关键词： hash join Knights Landing algorithm optimization parallel computing

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