• 제목/요약/키워드: multi-objective optimization technique

검색결과 123건 처리시간 0.026초

다진동수를 고려한 평면구조물의 위상최적화 (Topology Optimization of Plane Structures with Multi-Frequency Cases)

  • 이상진;배정은;박경임
    • 한국공간구조학회:학술대회논문집
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    • 한국공간구조학회 2006년도 춘계 학술발표회 논문집 제3권1호(통권3호)
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    • pp.233-238
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    • 2006
  • 이 논문은 여러 개의 진동수를 동시에 고려할 수 있는 위상최적화기법을 제공하고 이를 평면구조물에 적용하여 최적위상을 도출하고 그 결과를 기술하였다. 본 연구에서는 모드변형에너지를 최소화하고자하는 목적함수로 가정하고 구조물의 초기 부피를 제약함수로 사용하였다. 물질내부에 존재하는 구멍의 크기를 조절하기 위하여 최적정기준법을 바탕으로 한 크기조절 알고리듬을 도입하였다. 수치해석결과로 부터 제시된 위상최적화기법은 구조물의 기본고유진동수를 효과적으로 최대화하면서 동시에 고차의 진동수에 대한 영향도 최적위상에 고려할 수 있는 것으로 나타났다.

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빔 혹은 멤버레인 구조를 가지는 써모파일 센서의 다목적 최적설계 (The Multi-objective Optimal Design of Thermopile Sensor Having Beam or Membrane Structure)

  • 이준배;김태윤
    • 센서학회지
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    • 제6권1호
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    • pp.6-15
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    • 1997
  • 이 논문은 빔의 구조를 갖거나 멤브레인의 구조를 갖는 써모파일 센서의 다목적 최적설계에 관한 연구이다. 연구대상의 써모파일 센서는 $Si_{3}N_{4}/SiO_{2}$ 박막위에 알루미늄과 다결정 실리콘을 사용하여 열전쌍을 형성하고, 박막중심부에 $RuO_{2}$를 사용하여 적외선 흡수부를 만들어 중심부와 실리콘림부 사이의 온도차이에 따른 Seebeck 효과에 의한 유기전압을 감지하는 센서를 대상으로 하였다. 최적설계의 목적함수는 센서의 감도, 검출능 (detectivity) 및 열시정수를 대상으로 하였다. 패키지를 고려하여 모델링을 하였으며, 기존의 식의 고찰에 의한 단순 설계방법이 아닌 수학적 계획법을 사용한 다목적 최적화 방법을 이용하여 최적해를 구하였다. 최종적인 최적설계 수식화에는 퍼지계획법에서 사용되는 소속함수를 정의하여 설계자가 우선적으로 신뢰할 수 있는 해를 구 할 수 있도록 하였다. 또한, 제한조건으로서 주위 온도변화에 따른 센서의 출력전압변화를 포함시켜 실제 사용되는 환경을 고려하였다.

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Service Composition Based on Niching Particle Swarm Optimization in Service Overlay Networks

  • Liao, Jianxin;Liu, Yang;Wang, Jingyu;Zhu, Xiaomin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권4호
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    • pp.1106-1127
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    • 2012
  • Service oriented architecture (SOA) lends itself to model the application components to coarse-grained services in such a way that the composition of different services could be feasible. Service composition fulfills numerous service requirements by constructing composite applications with various services. As it is the case in many real-world applications, different users have diverse QoS demands issuing for composite applications. In this paper, we present a service composition framework for a typical service overlay network (SON) considering both multiple QoS constraints and load balancing factors. Moreover, a service selection algorithm based on niching technique and particle swarm optimization (PSO) is proposed for the service composition problem. It supports optimization problems with multiple constraints and objective functions, whether linear or nonlinear. Simulation results show that the proposed algorithm results in an acceptable level of efficiency regarding the service composition objective under different circumstances.

IMPROVEMENT OF RIDE AND HANDLING CHARACTERISTICS USING MULTI-OBJECTIVE OPTIMIZATION TECHNIQUES

  • KIM W. Y.;KIM D. K.
    • International Journal of Automotive Technology
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    • 제6권2호
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    • pp.141-148
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    • 2005
  • In order to reduce the time and costs of improving the performance of vehicle suspensions, the techniques for optimizing damping and air spring characteristic were proposed. A full vehicle model for a bus is constructed with a car body, front and rear suspension linkages, air springs, dampers, tires, and a steering system. An air spring and a damper are modeled with nonlinear characteristics using experimental data and a curve fitting technique. The objective function for ride quality is WRMS (Weighted RMS) of the power spectral density of the vertical acceleration at the driver's seat, middle seat and rear seat. The objective function for handling performance is the RMS (Root Mean Squares) of the roll angle, roll rate, yaw rate, and lateral acceleration at the center of gravity of a body during a lane change. The design variables are determined by damping coefficients, damping exponents and curve fitting parameters of air spring characteristic curves. The Taguchi method is used in order to investigate sensitivity of design variables. Since ride and handling performances are mutually conflicting characteristics, the validity of the developed optimum design procedure is demonstrated by comparing the trends of ride and handling performance indices with respect to the ratio of weighting factors. The global criterion method is proposed to obtain the solution of multi-objective optimization problem.

철골 트러스 구조의 자동화 최적설계 (The automated optimum design of steel truss structures)

  • 편해완;김용주;김수원;강문명
    • 한국공간구조학회논문집
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    • 제1권1호
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    • pp.143-155
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    • 2001
  • Generally, truss design has been determined by the designer's experience and intuition. But if we perform the most economical structural design we must consider not only cross-sections of members but also configurations(howe, warren and pratt types etc.) of single truss as the number of panel and truss height. The purpose of this study is to develope automated optimum design techniques for steel truss structures considering cross-sections of members and shape of trusses simultaneously. As the results, it could be possible to find easily the optimum solutions subject to design conditions at the preliminary structural design stage of the steel truss structures. In this study, the objective function is expressed as the whole member weight of trusses, and the applied constraints are as stresses, slenderness ratio, local buckling, deflection, member cross-sectional dimensions and truss height etc. The automated optimum design algorithm of this study is divided into three-level procedures. The first level on member cross-sectional optimization is performed by the sequential unconstrained minimization technique(SUMT) using dynamic programming method. And the second level about truss height optimization is applied for obtaining the optimum truss height by three-equal interval search method. The last level of optimization is applied for obtaining the optimum panel number of truss by integer programming method. The algorithm of multi-level optimization programming technique proposed in this study is more helpful for the economical design of plane trusses as well as space trusses.

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반응면기법을 이용한 침전조의 형상최적설계 (Shape Optimization of Sedimentation Tank Using Response Surface Method)

  • 김홍민;최승만;김광용
    • 한국유체기계학회 논문집
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    • 제7권6호
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    • pp.55-61
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    • 2004
  • A numerical procedure for optimizing the shape of three-dimensional sedimentation tank is presented to maximize its sedimentation efficiency. The response surface based optimization is used as an optimization technique with Reynolds-averaged Navier-Stokes analysis for multi-phase flow. Standard $k-{\epsilon}$ model is used as a turbulence closure. Three design variables such as, tank height to center feed wall diameter ratio, blockage ratio of center feed wall and angle of distributor are chosen as design variables. Sedimentation efficiency is defined as an objective function. Full-factorial method is used to determine the training points as a means of design of experiment. Sensitivity of each design variable on the objective function has been evaluated. And, optimal values of the design variables have been obtained.

Converter Utilization Ratio Enhancement in the THD Optimization of Cascaded H-Bridge 7-level Inverters

  • Khamooshi, Reza;Namadmalan, Alireza;Moghani, Javad Shokrollahi
    • Journal of Power Electronics
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    • 제16권1호
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    • pp.173-181
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    • 2016
  • In this paper, a new technique for harmonic optimization in cascaded H-bridge 7-level inverters is proposed. The suggested strategy is based on minimizing an objective function which simultaneously optimizes the converter utilization and Total Harmonic Distortion (THD). The Switch Utilization Ratio (SUR) is formulized for both the phase and line-line voltages of a 7-level inverter and is considered in the final objective functions. Based upon the SUR formula, utilization ratio enhancement will reduce the value of feeding DC links, which improves the efficiency and lifetime of the circuit components due to lower voltage stresses and losses. In order to achieve more effective solution in different modulation indices, it is assumed that the DC sources can be altered. Experimental validation is presented based on a three-phase 7-level inverter prototype.

최적화 기법을 이용한 에너지 효율 프로그램의 지원금 수준 산정 (Estimation of Rebate Level for Energy Efficiency Programs Using Optimization Technique)

  • 박종진;소철호;김진오
    • 전기학회논문지
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    • 제57권3호
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    • pp.369-374
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    • 2008
  • This paper presents the evaluation procedures and the estimation method for the estimation of optimal rebate level for EE(Energy Efficiency) programs. The penetration amount of each appliance is estimated by applying price function to preferred diffusion model resulted from model compatibility test. To estimate the optimal rebate level, two objective functions which express the maximum energy saving and operation benefit are introduced and by multi-objective function which can simultaneously consider two objective functions the optimal rebate level of each appliance is estimated. And then, using the decided rebate level and each penetration amount, the priority order for reasonable investment of each high-efficiency appliance is estimated compared to the results of conventional method. Finally, using a benefit/cost analysis based on California standard practice manual, the economic analysis is implemented for the four perspectives such as participant, ratepayer impact measure, program administrator cost and total resource cost.

다목적 유전알고리듬을 이용한 시스템 분해 기법 (System Decomposition Technique using Multiple Objective Genetic Algorithm)

  • 박형욱;김민수;최동훈
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 춘계학술대회논문집C
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    • pp.170-175
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    • 2001
  • The design cycle associated with large engineering systems requires an initial decomposition of the complex system into design processes which are coupled through the transference of output data. Some of these design processes may be grouped into iterative subcycles. In analyzing or optimizing such a coupled system, it is essential to determine the best order of the processes within these subcycles to reduce design cycle time and cost. This is accomplished by decomposing large multidisciplinary problems into several multidisciplinary analysis subsystems (MDASS) and processing it in parallel. This paper proposes new strategy for parallel decomposition of multidisciplinary problems to improve design efficiency by using the multiple objective genetic algorithm (MOGA), and a sample test case is presented to show the effects of optimizing the sequence with MOGA.

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추계학적 선형화 방법 및 다목적 유전자 알고리즘을 이용한 지진하중을 받는 인접 구조물에 대한 비선형 감쇠시스템의 최적 설계 (Optimal design of nonlinear damping system for seismically-excited adjacent structures using multi-objective genetic algorithm integrated with stochastic linearization method)

  • 옥승용;송준호;고현무;박관순
    • 한국지진공학회논문집
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    • 제11권6호
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    • pp.1-14
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    • 2007
  • 인접 구조물의 지진응답 제어를 위한 비선형 감쇠시스템의 최적 설계 방법에 관하여 연구하였다. 최적 설계를 위한 목적 함수로는 구조물의 응답과 감쇠기의 총 사용량을 고려하였으며, 상충하는 두 목적함수를 합리적인 수준에서 동시에 최소화하는 해를 구하기 위하여 유전자 알고리즘에 기반한 다목적 최적화 방법을 도입하였다. 또한, 최적화 과정에서 요구되는 비선형 시간이력해석을 수행하지 않고도, 비선형 이력감쇠기로 연결된 구조물의 지진응답을 효율적으로 평가하기 위하여 추계학적 선형화 방법을 접목하였다. 제시하는 방법의 효율성을 검증하기 위한 수치 예로서 20층과 10층의 인접 빌딩을 고려하였으며, 두 빌딩을 연결하는 비선형 감쇠시스템으로는 입력전압의 크기에 따라 변화하는 감쇠성능을 보이는 MR 감쇠기를 도입하였다. 제시하는 방법을 통하여 MR 감쇠기의 각 층별 최적 개수 및 감쇠용량을 결정할 수 있었으며, 이는 일반적인 균등분포 시스템에 비해 유사한 제어성능을 보이면서도 훨씬 경제적이었다. 또한, 인접구조물간 충돌에 대하여도 확률적으로 안정적인 거동을 보임을 검증하였으며, 제시하는 방법이 준능동 제어시스템의 최적 배치를 결정하기 위한 설계문제에도 적용할 수 있음을 보였다.