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郑州大学学报（理学版） 1987年第2期28卷 1-8页

作者：林诒勋

铁路专用线调车作业的因素很多,各方面的制约关系也比较复杂;但其中一个中心问题是如何确定机车的作业顺序,以期机车的作业时间或任务的延误时间达到最小限度。这是运筹学中的排序问题。本文的目的是探讨有关的数学模型,希望有朝一日用... 详细信息

铁路专用线调车作业的因素很多,各方面的制约关系也比较复杂;但其中一个中心问题是如何确定机车的作业顺序,以期机车的作业时间或任务的延误时间达到最小限度。这是运筹学中的排序问题。本文的目的是探讨有关的数学模型,希望有朝一日用计算机来制定最优的调度方案。

关键词： Locomotive dispatching Scheduling optimization algorithms NP—complete

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Optimal Design of Meander-Line Antennas for Radio Frequency Identification

Optimal Design of Meander-Line Antennas for Radio Frequency ...

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Biennial Institute of Electrical and Electronics Engineers Conference on Electomagnetic Field Computation

作者： A. C. Lisboa X. L. Travassos M. M. B. Lima D. A. G. Vieira INACOM - Handcrafted Technologies SENAI - Integrated Center of Manufacture and Technology

ISBN: (纸本)9781424470594

This paper presents optimization problem formulations to design meander-line antennas for passive radio frequency identification tags based on given specifications of input impedance, frequency range and geometric constraints. In this application, there is a need for directive transponders to select properly the target tag, which must be ideally isotropic. The design of an effective meander-line antenna for RFID purposes requires balancing geometrical characteristics with the microchip impedance. Therefore, there is an issue of optimization in determining the antenna parameters for best performance. The antenna is analysed by a method of moments. Some results using a deterministic optimization algorithm are shown.

关键词： Radio frequency identification meander line ANTENNA Optimal design optimization algorithms geometric constraint METHOD OF MOMENTS antennae impedance

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Pricing for Demand Shaping and Proactive Download in Smart Data Networks

Pricing for Demand Shaping and Proactive Download in Smart D...

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IEEE INFOCOM Conference

作者： John Tadrous Atilla Eryilmaz Hesham El Gamal Department of Electrical and Computer Engineering The Ohio State University USA

ISBN: (纸本)9781467359443

We address the question of optimal proactive service and demand shaping for content distribution in data networks through smart pricing. We develop a proactive download scheme that utilizes the probabilistic predictability of the human demand by proactively serving potential users' future requests during the off-peak times. Thus, it smooths-out the network traffic and minimizes the time average cost of service. Moreover, we incorporate the varying economic responsiveness and demand flexibilities of users into our model to develop a demand shaping mechanism that further improves the gains of proactive downloads. To that end, we propose a model that captures the uncertainty about the users' demand as well as their responsiveness to the pricing employed by the service providers. We propose a joint proactive resource allocation and demand shaping scheme based on non-convex optimization algorithms, and show that it always leads to strictly better performance over its proactive counterpart without demand shaping.

关键词： Pricing DADANET Downloading Content distribution optimization algorithms Responsiveness traffic network Resource utilization

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BI-OBJECTIVE REGULATING OF DVR COMPENSATOR TO MODIFY POWER QUALITY'S INDICES OF LOAD

BI-OBJECTIVE REGULATING OF DVR COMPENSATOR TO MODIFY POWER Q...

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International Conference and Exhibition on Electricity Distribution

作者： Mohammad Ali SHAMSI NEJAD Mohammad Ali ZAMEN Mahdi DADGAR Taghi VAHIDI Mohammad Reza KHALGHANI The University of Birjand Southern Khorasan Electric Distribution Company

ISBN: (纸本)9781629931333

This paper aims to present a control scheme based upon Particle Swarm optimization (PSO) algorithm in order to compensate the key power-quality disturbances, particularly voltage sags and harmonic voltages, using a Dynamic Voltage Restorer (DVR). According to the aforesaid method, DVR's PI controller structure is regulated via multi-objective PSO algorithm. We introduce the method for distribution systems to modify both SAG and THD as major power quality indices in sensitive loads at fault conditions. Therefore, we apply the multi-objective optimization algorithm in order to attain a better performance in solving the related problems.

关键词： LOAD Digital video recorders harmonic voltage voltage sags SAG SAG gene Total harmonic distortion dispensing system optimization algorithms parametric subharmonic oscillator dynamic voltage restorer quality indicator

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A NOVEL HYBRID ALGORITHM FOR RECONFIGURATION PROBLEM OF THE DISTRIBUTION NETWORKS

A NOVEL HYBRID ALGORITHM FOR RECONFIGURATION PROBLEM OF THE ...

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International Conference and Exhibition on Electricity Distribution

作者： Salman NASROLLAHI Amir SARDARABADI Younes KHOSHIAN Alireza GHARIB Mashhad Electric Energy Distribution Co.

ISBN: (纸本)9781629931333

One method of storing electrical energy in distribution networks is network reconfiguration. Reconfiguration in power systems can change the network topology and power flow with use of switches that can be closed and open. The main objective of the reconfiguration of distribution networks is reducing power losses and avoid network from overload. Reconfiguration is numerical optimization. Changes between open and close mode of switches should be done in such a way that the radial configuration remains radial. This study proposes a new optimization algorithm to solve the reconfiguration problem based on hybrid of particle swarm and Nelder-Mid (NM) optimization algorithms which is called PSO-NM. Simulation results on real network indicate that this new hybrid algorithm is more efficient and faster in comparsion with genetic algorithm.

关键词： Power grids Reconfiguration Particle swarm optimization optimization algorithms HYBRID Switches Network topology electrical energy Power flow Network power systems

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Exploiting Day-Ahead Electricity Price for Maximized Profit of Photovoltaic Systems

Exploiting Day-Ahead Electricity Price for Maximized Profit ...

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International Conference on Smart Grid Technology, Economics and Policies

作者： Abdalkarim Awad Peter Bazan Reinhard German Computer Networks and Communication Systems University of Erlangen

ISBN: (纸本)9781467359313

This paper proposes a methodology for optimal power management in a house with photovoltaic cells and battery storage. The proposed method exploits the day-ahead electricity market to enhance the profit of a household. An hourly-discretized optimization algorithm is proposed to identify the optimum daily operational strategy to be followed by the photovoltaic system, provided that a forecast for solar-power and load is available. This model is suitable to be applied in the real time operation of a typical house. The proposed strategy maximizes the individual revenue without shifting power demand. We explored the proposed algorithm with and without feed-in tariff. The results show that a typical house can save about 300 /year when app lying optimized power management.

关键词： Photovoltaic systems REAL TIME OPERATION Secondary batteries Solar collectors Domestic architecture Photovoltaic cells optimization algorithms Electricity LOAD Prices Power demand

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UWB VIVALDI ANTENNA BASED ON A SPLINE GEOMETRY WITH FREQUENCY BAND-NOTCH

UWB VIVALDI ANTENNA BASED ON A SPLINE GEOMETRY WITH FREQUENC...

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2008 IEEE Antennas and Propagation Society International Symposium (APSURSI 2008), vol.6

作者： Matthias John Max J. Ammann Patrick McEvoy Centre for Telecommunications Value-Chain Research School of Electronic & Communications Engineering Dublin Institute of Technology Dublin Ireland

A printed UWB Vivaldi antenna is presented in this paper. Its geometry is based on a novel spline shape and optimised by an efficient global optimisation algorithm. A U-shaped slot is introduced into the geometry to n... 详细信息

ISBN: (纸本)9781424420414

关键词： geometry Frequency bands splines (mathematics) Ultra wideband technologies wireless local area network (WLAN) optimization algorithms ANTENNA Vivaldi antennas

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Application of Imperialist Competitive Algorithm to Design an Optimal Controller for LFC Problem

Application of Imperialist Competitive Algorithm to Design a...

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Annual Conference on IEEE Industrial Electronics Society

作者： Elyas Rakhshani Alvaro Luna Kumars Rouzbehi Pedro Rodriguez Technical University of Catalonia Department of Electrical Engineering Research Center on Renewable Electrical Energy Systems (SEER Center)

ISBN: (纸本)9781467324199

A novel optimization algorithm is presented to improve the design of optimal controllers for load frequency control problem. This algorithm is applied for two area LFC system with using an output feedback controller. In the practical power system, access to some of the state variables in LFC system is limited and measuring is also impossible. So an optimal output feedback controller with a practical viewpoint is proposed. The optimal control law is determined by minimizing a performance index under the output feedback conditions leading to a coupled matrix equation. In order to solve these equations traditional methods may be used. But for more accuracy and better design for this controller, ICA algorithm is applied to find the global optimal gain matrix of the controller. Simulation results of ICA are compared with the conventional design. Comparison shows the success of ICA for design of optimal controller.

关键词： optimal controllers competitive algorithms Full mold process Independent component analysis islet cell antibody performance indicators load frequency control control law feedback controller Output feedback State variable information matrix Controllers optimization algorithms

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Green Scheduling to minimize Base station Transmit power and UE circuit power consumption

Green Scheduling to minimize Base station Transmit power and...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

作者： Rohit Gupta Emilio Calvanese Strinati CEA LETI MINATEC

ISBN: (纸本)9781457713460

Packet scheduling algorithms are viewed as one of the key mechanisms for increasing the diversity order, robustness and effectiveness of a wireless multi-user communication systems. Traditional packet scheduling algorithms are designed to save energy at the Base-station (BS) in downlink by exploiting tradeoffs between spectral efficiency, delay and energy while at the same time meeting the QoS requirements of the system. However, these algorithms ignore the User-Equipment (UE) circuit power consumption to receive and process downlink traffic. In this paper, we show that the optimization of only BS transmit power consumption in downlink can lead to significant drain of UE battery power. Hence, we propose sub-optimal algorithms that exploit Discontinuous Transmission (DTX) at the base-station to tradeoff delay with energy consumption to improve Energy Efficiency (EE) of the UE circuit power and BS transmit power, while at the same time meeting the application QoS requirements in terms of throughput and service delay. The proposed algorithm is also shown to achieve good performance in saving transmit power at the base-station and also the UE circuit power consumption over traditional scheduling algorithms.

关键词： BASE STATION UNITED ELECTRIC Scheduling algorithms Transmitter power Power consumption Energy sources optimization algorithms Downlink Bahamas

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Optimizing Data Access Latencies in Cloud Systems by Intelligent Virtual Machine Placement

Optimizing Data Access Latencies in Cloud Systems by Intelli...

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IEEE INFOCOM Conference

作者： Mansoor Alicherry T. V. Lakshman Bell Labs India Alcatel-Lucent Bangalore India Bell Labs Alcatel-Lucent New Jersey USA

ISBN: (纸本)9781467359443

Many cloud applications are data intensive requiring the processing of large data sets and the MapReduce/Hadoop architecture has become the de facto processing framework for these applications. Large data sets are stored in data nodes in the cloud which are typically SAN or NAS devices. Cloud applications process these data sets using a large number of application virtual machines (VMs), with the total completion time being an important performance metric. There are many factors that affect the total completion time of the processing task such as the load on the individual servers, the task scheduling mechanism, communication and data access bottlenecks, etc. One dominating factor that affects completion times for data intensive applications is the access latencies from processing nodes to data nodes. Ideally, one would like to keep all data access local to minimize access latency but this is often not possible due to the size of the data sets, capacity constraints in processing nodes which constrain VMs from being placed in their ideal location and so on. When it is not possible to keep all data access local, one would like to optimize the placement of VMs so that the impact of data access latencies on completion times is minimized. We address this problem of optimized VM placement - given the location of the data sets, we need to determine the locations for placing the VMs so as to minimize data access latencies while satisfying system constraints. We present optimal algorithms for determining the VM locations satisfying various constraints and with objectives that capture natural tradeoffs between minimizing latencies and incurring bandwidth costs. We also consider the problem of incorporating inter-VM latency constraints. In this case, the associated location problem is NP-hard with no effective approximation within a factor of 2 - ∈ for any ∈ > 0. We discuss an effective heuristic for this case and evaluate by simulation the impact of the various tradeoffs in t

关键词： Completion time Access to Information information retrieval Latency Dataset virtual machines Representation of data placement tradeoffs optimization algorithms

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