• 제목/요약/키워드: Optimal point

검색결과 2,285건 처리시간 0.029초

AN APPROXIMATE ALTERNATING LINEARIZATION DECOMPOSITION METHOD

  • Li, Dan;Pang, Li-Ping;Xia, Zun-Quan
    • Journal of applied mathematics & informatics
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    • 제28권5_6호
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    • pp.1249-1262
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    • 2010
  • An approximate alternating linearization decomposition method, for minimizing the sum of two convex functions with some separable structures, is presented in this paper. It can be viewed as an extension of the method with exact solutions proposed by Kiwiel, Rosa and Ruszczynski(1999). In this paper we use inexact optimal solutions instead of the exact ones that are not easily computed to construct the linear models and get the inexact solutions of both subproblems, and also we prove that the inexact optimal solution tends to proximal point, i.e., the inexact optimal solution tends to optimal solution.

이동하중이 작용하는 3경간 연속보의 근사 최적제원 (Near-Optimal Parameters of Three Span Continuous Beams subjected to a Moving Load)

  • 이병규;오상진;모정만
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1997년도 봄 학술발표회 논문집
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    • pp.139-146
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    • 1997
  • The main purpose of this paper is to investigate the near-optimal parameters of continuous beam subject to a moving load. The computer-aided optimization technique is used to obtain the near-optimal parameters. The computer program is developed to obtain the natural frequency parameters and the forced vibration responses to a transit point load for the continuous beam with variable support spacing, mass and stiffness. The optimization function to describe the design efficiency is defined as a linear combination of four dimensionless span characteristics: the maximum dynamic stress; the stress difference between span segments; the rms deflection under the transit point load; and the total span mass. Studies of three span beams show that the beam with near-optimal parameters can improve design efficiency by 12 to 24 percent when compared to a reference configuration beams of the same total span length.

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A Novel Hitting Frequency Point Collision Avoidance Method for Wireless Dual-Channel Networks

  • Quan, Hou-De;Du, Chuan-Bao;Cui, Pei-Zhang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권3호
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    • pp.941-955
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    • 2015
  • In dual-channel networks (DCNs), all frequency hopping (FH) sequences used for data channels are chosen from the original FH sequence used for the control channel by shifting different initial phases. As the number of data channels increases, the hitting frequency point problem becomes considerably serious because DCNs is non-orthogonal synchronization network and FH sequences are non-orthogonal. The increasing severity of the hitting frequency point problem consequently reduces the resource utilization efficiency. To solve this problem, we propose a novel hitting frequency point collision avoidance method, which consists of a sequence-selection strategy called sliding correlation (SC) and a collision avoidance strategy called keeping silent on hitting frequency point (KSHF). SC is used to find the optimal phase-shifted FH sequence with the minimum number of hitting frequency points for a new data channel. The hitting frequency points and their locations in this optimal sequence are also derived for KSHF according to SC strategy. In KSHF, the transceivers transmit or receive symbol information not on the hitting frequency point, but on the next frequency point during the next FH period. Analytical and simulation results demonstrate that unlike the traditional method, the proposed method can effectively reduce the number of hitting frequency points and improve the efficiency of the code resource utilization.

수도권 순동 무효전력 확보를 위한 FACTS 협조제어 시스템 온라인 설치 (Installation of MFC(Multiple FACTS Coordinated control) On-line System for the Spinning Reserve of a Reactive Power in Metropolitan Area)

  • 장병훈;문승필;하용구;전웅재
    • 전기학회논문지
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    • 제59권12호
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    • pp.2131-2134
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    • 2010
  • In this paper, the on-line system schemes for coordinated control system of multiple FACTS were presented to enhance the voltage stability around the metropolitan areas. In order to coordinated control system of FACTS devices, MFC on-line system calculates the optimal set point(Vref, Qrev) of FACTS devices using the coordinated control algorithm with real time network data which is transferred from SCADA/EMS system. If the system is unstable after contingencies, the new operation set-point of FACTS would be determined using bus sensitivity from tangent vector at voltage instability point. Otherwise, we would determine the new operation set-point of FACTS for considering economical operation, like as active power loss minimization using Optimal Power Flow algorithm. As the test, MFC(Multiple FACTS Coordinated control) on-line system will be installed in Korea power system.

3차원 일대일 충돌 감지 및 회피 알리고리듬 (Algorithm for Pairwise Collision Detection and Avoidace in 3-D)

  • 김광연;박정우;탁민제
    • 한국항공우주학회지
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    • 제36권10호
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    • pp.996-1002
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    • 2008
  • 본 논문에서는 3차원 일대일 충돌 감지, 충돌 회피 및 경로점 유도를 위한 알고리듬에 대해 다룬다. 항공기는 질점 모델로 가정하였다. 충돌 감지는 최근접점까지 남은 시간과 그 때의 거리를 기준 값과 비교하여 수행하였다. 충돌 회피는 최적 제어 이론을 이용하여 최종 시간에서의 상대 거리를 최대화하는 가속도 입력을 계산하여 수행하였다. 경로점 유도는 잘 알려진 비례항법유도를 적용하였다. 제안된 알고리듬의 성능은 두 개의 시나리오를 통하여 검증하였다.

Affine Scaling Interior Point Method를 이용한 최적조류계산 (Optimal Power Flow Using Affine Scaling interior Point Method)

  • 김경민;박중성;한석만;정구형;김발호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 추계학술대회 논문집 전력기술부문
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    • pp.156-158
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    • 2005
  • This paper presents an Optimal Power Flow (OPF) algorithm using Interior Point Method (IPM) to swiftly and precisely perform the five minute dispatch. This newly suggested methodology is based on Affine Sealing Interior Point Method (AS IPM), which is favorable for large-scale problems involving many constraints. It is also eligible for OPF problems in order to improve the calculation speed and the preciseness of its resultant solutions. Big-M Method is also used to improve the solution stability. Finally, this paper provides a relevant case study to confirm the efficiency of the proposed methodology.

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경로예측이 가능한 이동물체와 이동로봇간의 Rendezvous Point에 관한 연구 (A Study on Rendezvous Point between the Mobile Robot and Predicted Moving Objects)

  • 윤정훈;이기성
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 합동 추계학술대회 논문집 정보 및 제어부문
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    • pp.84-86
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    • 2001
  • A new navigation method is developed and implemented for mobile robot. The mobile robot navigation problem has traditionally been decomposed into the path planning and path following. Unlike tracking-based system, which minimize intercept time and moved mobile robot distance for optimal rendezvous point selection. To research of random moving object uses algorithm of Adaptive Control using Auto-regressive Model. A fine motion tracking object's trajectory is predicted of Auto-regressive Algorithm. Thus, the mobile robot can travel faster than the target wi thin the robot's workspace. The can select optimal rendezvous point of various intercept time.

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The Effect of Random Point Excitation on the Vibration Level of Plates

  • Park, Myung-Jin;Yoo, Song-Min;Kim, Chang-Nyung
    • Journal of Mechanical Science and Technology
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    • 제16권5호
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    • pp.583-590
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    • 2002
  • When a mechanical structure is driven by stationary wide band random point forces, the resulting vibration depends upon the number, location, and joint statistical properties of the exciting forces. In this study, under the assumption of light damping, an approximate procedure for analyzing plates is briefly outlined. The effects of number, location and correlation of the force field on the vibration level are then investigated for various cases in which random point forces with band limited white noise are applied, and the optimal spacing between input forces that produces a relative minimum in the vibration response is predicted.

Using Evolutionary Optimization to Support Artificial Neural Networks for Time-Divided Forecasting: Application to Korea Stock Price Index

  • Oh, Kyong Joo
    • Communications for Statistical Applications and Methods
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    • 제10권1호
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    • pp.153-166
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    • 2003
  • This study presents the time-divided forecasting model to integrate evolutionary optimization algorithm and change point detection based on artificial neural networks (ANN) for the prediction of (Korea) stock price index. The genetic algorithm(GA) is introduced as an evolutionary optimization method in this study. The basic concept of the proposed model is to obtain intervals divided by change points, to identify them as optimal or near-optimal change point groups, and to use them in the forecasting of the stock price index. The proposed model consists of three phases. The first phase detects successive change points. The second phase detects the change-point groups with the GA. Finally, the third phase forecasts the output with ANN using the GA. This study examines the predictability of the proposed model for the prediction of stock price index.

An Integrated Sequential Inference Approach for the Normal Mean

  • Almahmeed, M.A.;Hamdy, H.I.;Alzalzalah, Y.H.;Son, M.S.
    • Journal of the Korean Statistical Society
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    • 제31권4호
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    • pp.415-431
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    • 2002
  • A unified framework for statistical inference for the mean of the normal distribution to derive point estimates, confidence intervals and statistical tests is proposed. This optimal design is justified after investigating the basic information and requirements that are possible and impossible to control when specifying practical and statistical requirements. Point estimation is only credible when viewed in the larger context of interval estimation, since the information required for optimal point estimation is unspecifiable. Triple sampling is proposed and justified as a reasonable sampling vehicle to achieve the specifiable requirements within the unified framework.