• 제목/요약/키워드: Dual optimization

검색결과 320건 처리시간 0.028초

로버스트 설계에 대한 최적화 방안 (An Optimization Procedure for Robust Design)

  • 권용만;홍연웅
    • 품질경영학회지
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    • 제26권4호
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    • pp.88-100
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    • 1998
  • Robust design in industry is an a, pp.oach to reducing performance variation of quality characteristic value in products and processes. Taguchi has used the signal-to-noise raio(SN) to achieve the a, pp.opriate set of operating conditions where variablity around target is low in the Taguchi parameter design. Taguchi has dealt with having constraints on both the mean and variability of a characteristic (the dual response problem) by combining information on both mean and variability into an SN. Many Statisticians criticize the Taguchi techniques of analysis, particularly those based on the SN. In this paper we propose a substantially simpler optimization procedure for robust design to solve the dual response problems without resorting to SN. Two examples illustrate this procedure in the two different experimental design(product array, combined array) a, pp.oaches.

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EFFECTS OF VARIOUS VVA SYSTEMS ON THE ENGINE FUEL ECONOMY AND OPTIMIZATION OF A CVVT-VVL SI ENGINE USING 1D SIMULATION

  • Lee, H.B.;Kwon, H.;Min, K.
    • International Journal of Automotive Technology
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    • 제8권6호
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    • pp.675-685
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    • 2007
  • A single cylinder SI engine with a VVA system is modeled by the coupling of a commercial 1D simulation package and an additional combustion model and validated by comparison with experimental data. A number of simulations are carried out to investigate the effects of five different VVA systems on the performance and fuel efficiency of the baseline engine. Finally, the simulation model is applied to an extensive computational study to map out the strategies to operate the engines with dual CVVT and dual CVVT-2 step VVL systems in a fuel-efficient manner.

Desirability Function Modeling for Dual Response Surface Approach to Robust Design

  • Kwon, You Jin;Kim, Young Jin;Cha, Myung Soo
    • Industrial Engineering and Management Systems
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    • 제7권3호
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    • pp.197-203
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    • 2008
  • Many quality engineering practitioners continue to have a considerable interest in implementing the concept of response surface methodology to real situations. Recently, dual response surface approach is extensively studied and recognized as a powerful tool for robust design. However, existing methods do not consider the information provided by customers and design engineers. In this regard, this article proposes a flexible optimization model that incorporates that information via desirability function modeling. The optimization scheme and its modeling flexibility are demonstrated through an illustrative example by comparing the proposed model with existing ones.

신개념 하이브리드 동력장치 개발 (Development of a new hybrid power system)

  • 김남욱;윤영민;하승범;임원식;박영일;이장무
    • 신재생에너지
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    • 제1권4호
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    • pp.55-59
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    • 2005
  • In this paper, a new drive system(SHS) for hybrid electric vehicle is proposed. As dual rotor hybrid electric vehicle using planetary gearsets, the SHS has the advantages of both series and parallel systems. The output speed and torque of SHS can be determined at specific point regardless of the engine's operating point. When the size of generator which is used in SHS is same as in THS, the SHS has more activities of engine control due to the ability that is operated in lower speed range. To maximize the performance of system, we carried out optimization for the three parameters that are engine, motorl and motor2. As the result of the optimization, we confirmed the SHS is more preferable to THS in fuel consumption and acceleration area.

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A LARGE-UPDATE INTERIOR POINT ALGORITHM FOR $P_*(\kappa)$ LCP BASED ON A NEW KERNEL FUNCTION

  • Cho, You-Young;Cho, Gyeong-Mi
    • East Asian mathematical journal
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    • 제26권1호
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    • pp.9-23
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    • 2010
  • In this paper we generalize large-update primal-dual interior point methods for linear optimization problems in [2] to the $P_*(\kappa)$ linear complementarity problems based on a new kernel function which includes the kernel function in [2] as a special case. The kernel function is neither self-regular nor eligible. Furthermore, we improve the complexity result in [2] from $O(\sqrt[]{n}(\log\;n)^2\;\log\;\frac{n{\mu}o}{\epsilon})$ to $O\sqrt[]{n}(\log\;n)\log(\log\;n)\log\;\frac{m{\mu}o}{\epsilon}$.

Ultra Broadband Absorption of SPPs Enhanced Dual Grating Thin Film CIGS Solar Cell Enabled by Particle Swarm Optimization

  • Le, DuyKhanh;Tran, QuyetThang;Lee, Sangjun;Kim, Sangin
    • Journal of the Optical Society of Korea
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    • 제18권5호
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    • pp.429-435
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    • 2014
  • We examined the effective utilization of Particle Swarm Optimization (PSO) to enhance the light absorption performance in thin CuIn1-xGaxSe2 (CIGS) solar cells with dual (top and bottom) gratings. The PSO tuned structure was demonstrated to be capable of achieving high and ultra broadband absorption spectra due to well-spaced and well-defined absorption peaks, which were SPPs and photonic modes induced by the metal and dielectric gratings. For only TM polarization and both polarizations, the fully optimized net absorptions exhibit 85.6% and 78.1%, which correspond to ~35.4% and ~23.5% improvement compared to optimized flat structures, respectively.

Design of Distributed Beamforming for Dual-Hop Multiple-Access Relay Networks

  • Liu, Binyue
    • ETRI Journal
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    • 제36권4호
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    • pp.625-634
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    • 2014
  • This paper studies a dual-hop multiple-access relay network where two independent source nodes transmit information to a common destination node with the aid of multiple single-antenna amplify-and-forward relays. Each relay node is subject to an individual power constraint. We focus on the design of distributed beamforming schemes for the relays to support the transmission rate requirements of the two sources. To this end, we first characterize the achievable rate region for this network via solving a sequence of corner point optimization problems proposed in this paper. We also develop several low-complexity suboptimal schemes in closed form. Two inner bounds of the achievable rate region are theoretically shown to be approximately optimal in two special scenarios. Finally, numerical results demonstrate the effectiveness of our proposed approaches.

로버스트 변수모형의 비선형 목표계획법 접근방법 (Nonlinear Goal Programming Approach for Robust Parameter Experiments)

  • 이상헌
    • 한국국방경영분석학회지
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    • 제28권1호
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    • pp.47-66
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    • 2002
  • Instead of using signal-to-noise ratio, we attempt to optimize both the mean and variance responses using dual response optimization technique. The alternative experimental strategy analyzes a robust parameter design problem to obtain the best settings that give a target condition on the mean while minimizing its variance. The mean and variance are treated as the two responses of interest to be optimized. Unlike to the crossed array and combined array approaches, our experimental setup requires replicated runs for each control factor's treatment under noise sampling. When the postulated response models are true, they enable the coefficients to be estimated and the desired performance measure to be analyzed more efficiently. The procedure and illustrative example are given for the dual response optimization techniques of nonlinear goal programming.

수송단위에 의한 지연납기를 고려한 최적 수송량 결정 모형 (An Optimal Distribution Model under Consideration of Delivery Unit and Backlogging Costs)

  • 이양호;안준홍;최경현
    • 대한산업공학회지
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    • 제29권3호
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    • pp.206-212
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    • 2003
  • In this paper, we propose a mathematical optimization model with a suitable algorithm to determine delivery and backlogging quantities by minimizing the total cost including the penalty costs for delay. The system has fixed transshipment costs and demands are fulfilled by some delivery units that represent the volume of delivery amount to be shipped in a single time period. Since, backlogging is allowed, demands could be delivered later at the expense of some penalty costs. The model provides the optimal decisions on when and how much to he delivered while minimizing the total costs. To solve the problem, we propose an algorithm that uses the Lagrangian dual in conjunction with some primal heuristic techniques that exploit the special structure of the problem. Finally, we present some computational test results along with comments on the further study.

Flexible Mixed decomposition Method for Large Scale Linear Programs: -Integration of a Network of Process Models-

  • Ahn, Byong-Hun;Rhee, Seung-Kyu
    • 한국경영과학회지
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    • 제11권2호
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    • pp.37-50
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    • 1986
  • In combining dispersed optimization models, either primal or dual(or both) decomposition method widely used as an organizing device. Interpreting the methods economically, the concepts of price and resource-directive coordination are generally well accepted. Most of deomposition/ integration methods utilize either primal information of dual information, not both, from subsystems, while some authors have developed mixed decomposition approaches employing two master problems dealing primal and dual proposals separately. In this paper a hybrid decomposition method is introduced, where one hybrid master problem utilizes the underlying relationships between primal and dual information from each subsystem. The suggested method is well justified with respect to the flexibility in information flow pattern choice (some prices and other quantities) and to the compatibility of subdivision's optimum to the systemwide optimum, that is often lacking in conventional decomposition methods such as Dantzig-Wolfe's. A numerical example is also presented to illustrate the suggested approach.

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