• 제목/요약/키워드: optimizer

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Optimal Design of Panel with Trapezoidal Type Stiffeners (사다리꼴 보강재를 활용한 패널의 최적설계)

  • 이종선
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.12 no.6
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    • pp.71-76
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    • 2003
  • Optimal design of panel with trapezoidal type stiffeners was studied using linear and nonlinear deformation theories. Also analysis method was using closed-form analysis and finite difference energy methods, respectively. Various bucking load factors are obatined for stiffened laminated composite panel with trapezoidal type stiffeners and various aspect ratios, which are made from Carbon/Epoxy USN 125 prepreg and are simply-supported on four edges under uniaxial compression. Optimal design analyses are carried out by the nonlinear search optimizer, ADS.

A study on the production and distribution problem in a supply chain network using genetic algorithm (Genetic algorithm을 이용한 supply chain network에서의 최적생산 분배에 관한 연구)

  • Lim Seok-jin;Jung Seok-jae;Kim Kyung-Sup;Park Myon-Woong
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2003.05a
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    • pp.262-269
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    • 2003
  • Recently, a multi facility, multi product and multi period industrial problem has been widely investigated in Supply Chain Management (SCM). One of the key issues in the current SCM research area involved reducing both production and distribution costs. The purpose of this study is to determine the optimum quantity of production and transportation with minimum cost in the supply chain network. We have presented a mathematical model that deals with real world factors and constructs. Considering the complexity of solving such model, we have applied the genetic algorithm approach for solving this model computational experiments using a commercial genetic algorithm based optimizer. The results show that the real size problems we encountered can be solved In reasonable time

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Design Optimization Using the Two-Point Convex Approximation (이점 볼록 근사화 기법을 적용한 최적설계)

  • Kim, Jong-Rip;Choi, Dong-Hoon
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.6
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    • pp.1041-1049
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    • 2003
  • In this paper, a new local two-point approximation method which is based on the exponential intervening variable is proposed. This new algorithm, called the Two-Point Convex Approximation(TPCA), use the function and design sensitivity information from the current and previous design points of the sequential approximate optimization to generate a sequence of convex, separable subproblems. This paper describes the derivation of the parameters associated with the approximation and the numerical solution procedure. In order to show the numerical performance of the proposed method, a sequential approximate optimizer is developed and applied to solve several typical design problems. These optimization results are compared with those of other optimizers. Numerical results obtained from the test examples demonstrate the effectiveness of the proposed method.

Global Optimization of Composite Structures Using Triangular Patch Algorithm (삼각 패치 알고리듬을 이용한 복합 재료 구조물의 전체 최적화)

  • O, Seung-Hwan;Lee, Byeong-Chae
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.25 no.4
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    • pp.671-684
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    • 2001
  • Several design problems of composite structures are studied via a global optimizer based on attraction regions. MSC/NASTRAN is adopted for static and eigenvalue analysis. The method of modified feasible direction in DOT is used for local optimization. Through the review of global optimization algorithms, the triangular patch algorithm is selected because the algorithm is known to be efficient, robust and powerful for general nonlinear optimization problems. For general applicability, various mechanical properties are considered as design objectives; strain energy, eigenvalue, weight, displacement, and buckling load. In all cases considered, the triangular patch algorithm results in a lot of optimum points and useful design patterns, that are not easy by local algorithms or conventional global algorithms can be determined.

A Case Study for Improvement of EOP Measurement System through 6 Sigma Introduction (6시그마 도입을 통한 EOP 측정시스템 개선 사레연구 : D사의 6시그마 활동 사례를 중심으로)

  • Choi, Cheon-Kyu
    • Journal of Korean Society for Quality Management
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    • v.34 no.3
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    • pp.51-61
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    • 2006
  • This paper is dealing with a 6 sigma application in chemical industries. The company is enterprise which produce PR that is semiconductor material. CTQ is consisted of thickness (Big Y$_1$) and EOP (Big Y$_2$). After 6 sigma improvement activity that thickness (Big Y$_1$) improved from 0.98 sigma to 2.80 sigma and EOP (Big Y$_2$, energy optimizer) improved from 1.53 sigma to 3.98 sigma. The effectiveness of financial scope reduced 58,200,000 won of COPQ. But there are some problems to enforce 6 sigma in small enterprises. First, it is a lack of complete charge manpower enforcing S sigma activity. Second, it is a lack of professional knowledge of project leaders. Third, the passion of sponsorship (champion) is a lacking. Nevertheless useful tool was certified so that 6 sigma achieves quality reform in small enterprises.

Optimum Design of The Underground Parking Place By Slab-Band System (슬래브-밴드 시스템에 의한 지하주차장의 최적설계)

  • 조인기;박기흉;강문명
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1993.10a
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    • pp.91-97
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    • 1993
  • The purpose of this investigation is to find the optimum values of the steel ratio, the effective depth, and the width of band for an economical design of the underground parking place by SB(slab-band) System. To simplify the optimization procedure, the final optimum ultimate strength design of SB system is obtained by combining the optimum design of each of the three component parts of SB system, namely : slab, band, and marginal beam. In this paper, nonlinear optimum GINO(General Interactive Optimizer) programming used in optimization procedure is described. Example is included to illustrate the application of the algorithm presented herein.

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Structural Cost Optimization for Building Frame System Using High-Strength Steel Members (고강도 강재를 사용한 건물골조방식 구조물의 구조비용 최적화)

  • Choi Sang-Hyun;Kwon Bong-Keun;Kim Sang-Bum;Seo Ji-Hyun;Kwon Yun-Han;Park Hyo-Seon
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2006.04a
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    • pp.541-548
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    • 2006
  • This study presents a structural cost optimization method for building frame system using high-strength steel members. In, this optimization method, the material cost of steel member is involved in objective function to find the optimal cost of building frame systems. Genetic Algorithm is adopted to optimizer to find structural cost optimization. The proposed adapted to structural design of 3.5 stories example buildings with buildings frame systems. As a result, The proposed optimization method can be effectively adapted to cost optimization of building frame systems using high-strength steel members.

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Improvement and quasi optical analysis of wide band prototype feedhorn for ASTE focal plane array

  • Lee, Bangwon;Gonzalez, Alvaro;Lee, Jung-won
    • The Bulletin of The Korean Astronomical Society
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    • v.42 no.1
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    • pp.57.1-57.1
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    • 2017
  • As an upgrade we report the current ASTE ultra-wideband corrugated horn design. The length of the feedhorn gets shortened from 12.5 mm to 11 mm, and it shows better side lobe level at the far-field patterns compared with the previous design. We looked into possible quasi-optical solution to match the feedhorn beam to the optics of the current ASTE telescope, starting from frequency-independent solution using two ellipsoidal mirrors to which wideband performance of the feedhorn naturally fits. We used a commercial physical optics package (GRASP) with an user-defined optimizer to give physical constraints to evaluated optical designs for highest efficiency.

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On-line optimization of a distillation column (증류탑의 실시간 최적화)

  • Choe, Yong-Jin;Lo, Kyun;Yoon, En-Sup
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10a
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    • pp.229-233
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    • 1990
  • A new on-line optimization technique of a distillation column is presented. The equation decoupling method and the simultaneous solution method are combined to simulate the distillation process. The storage requirement is small enough to run on a PC. A improved successive quadratic programming is used to find the optimum operating conditions. The optimizer is intensively tested by using the dynamic simulator, SPEEDUP. After this, the technique is applied to a binary distillation column that treats methanol and water.

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Nonlinear Networked Control Systems with Random Nature using Neural Approach and Dynamic Bayesian Networks

  • Cho, Hyun-Cheol;Lee, Kwon-Soon
    • International Journal of Control, Automation, and Systems
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    • v.6 no.3
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    • pp.444-452
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    • 2008
  • We propose an intelligent predictive control approach for a nonlinear networked control system (NCS) with time-varying delay and random observation. The control is given by the sum of a nominal control and a corrective control. The nominal control is determined analytically using a linearized system model with fixed time delay. The corrective control is generated online by a neural network optimizer. A Markov chain (MC) dynamic Bayesian network (DBN) predicts the dynamics of the stochastic system online to allow predictive control design. We apply our proposed method to a satellite attitude control system and evaluate its control performance through computer simulation.