• Title/Summary/Keyword: 황금분할탐색

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Optimum Inverse Design of 2-D Cascade Airfoil (2차원 익렬 익형의 최적역설계)

  • 조장근;박원규
    • Journal of the Society of Naval Architects of Korea
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    • v.39 no.4
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    • pp.17-23
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    • 2002
  • The present paper describes the optimum inverse design of 2-D linear cascade airfoil. The pressure coefficient of an airfoil surface is taken as the objective function, and non-orthogonal incompressible Navier-Stokes equation is applied to calculate the pressure coefficient. Both of steepest descent and conjugate gradient method have been used to make the objective function go to zero. The 1st order finite differential method is applied to the searching direction and the golden section method is used to compute the searching distance. As a result of the present work, a good convergence to the target airfoil has been obtained.

Optimization of Design Variable for Injection Molding Using a Modified Golden Section Search Method (수정된 황금분할 탐색법을 이용한 사출성형 설계인자의 최적화)

  • Park, Jong-Cheon;Kim, Kyung-Mo
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.16 no.1
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    • pp.63-69
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    • 2017
  • The golden section search method is widely used to optimize a single design variable in many fields due to its superior advantages of search. In this paper, a new direct search method is proposed by modifying the search structure of the golden section search method; thus, it can be adapted in the optimization of a single design variable for the injection molding process. This proposed method is applied to determine an optimal gate position for the injection molding of a bezel of an automated teller machine for minimizing the injection pressure. Thus, an optimal gate position where the injection pressure is decreased by 4.5 MPa to that of the initial position was obtained with a small number of simulations. It is anticipated that the current proposed search method can be utilized as a practical tool for optimizing single variables for injection molding design.

An Extension of Unified Bayesian Tikhonov Regularization Method and Application to Image Restoration (통합 베이즈 티코노프 정규화 방법의 확장과 영상복원에 대한 응용)

  • Yoo, Jae Hung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.1
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    • pp.161-166
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    • 2020
  • This paper suggests an extension of the unified Bayesian Tikhonov regularization method. The unified method establishes the relationship between Tikhonov regularization parameter and Bayesian hyper-parameters, and presents a formula for obtaining the regularization parameter using the maximum posterior probability and the evidence framework. When the dimension of the data matrix is m by n (m >= n), we derive that the total misfit has the range of m ± n instead of m. Thus the search range is extended from one to 2n + 1 integer points. Golden section search rather than linear one is applied to reduce the time. A new benchmark for optimizing relative error and new model selection criteria to target it are suggested. The experimental results show the effectiveness of the proposed method in the image restoration problem.

Determination of the Overall Heat Transfer Coefficient for Non-isothermal Finite Element Analysis (비 등온 유한요소해석을 위한 접면열전달계수의 결정)

  • 강연식;양동열
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.4
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    • pp.72-77
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    • 1997
  • In the temperature analysis of hot metal forming process, the heat transfer conditions between the work-piece and the tool have improtant influences upon the temperature distribution. The accuracy of thermal analysis depends on the proper description of boundary conditions including heat transfer. At the contact surface of two materials with different temperatures, this requires the knowledge of the overall heat transfer coefficient. In order to determine the overall heat transfer coefficient, a technique is developed. The technique involves temperature measurement by using thermocouples during hot upsetting operations and finite element computation. The overall heat transfer coefficient is determined using a non-linear optimization technique.

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A Study on the Shape Design of Cylindrical Cam in a Folder Hinge Mechanism for Mobile Phones (휴대폰 폴더힌지기구를 위한 원통캠 형상 설계에 관한 연구)

  • Lee S.J.;Park J.K.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.1613-1616
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    • 2005
  • In this paper, we developed an algorithm of generating cam contour curve for hinge mechanism of folder-type mobile phone. The main feature of this hinge mechanism is that we can operate uniform torque to open or close the mobile phone. We divided the opening or closing intervals of the cam into finite sub-intervals, and then we determined the cam contour curve of each sub-interval as a parabolic curve. Finally, these finite parabolic curves form the total cam contour. We can design single cam, which composed moving cam with contour curve and fixed cam that plays only roller, and twin cam with contour curve that is made up the pair of two cams symmetrically.

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A Volume-Delay Function Parameter Estimation and Validation for Traffic Assignment (도로 통행지체함수의 파라미터 추정 및 검증)

  • Lim, Yong-Taek;Kang, Min-Gu;Choo, Sang-Ho;Lee, Sang-Min
    • Journal of Korean Society of Transportation
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    • v.26 no.3
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    • pp.17-29
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    • 2008
  • A volume-delay function(VDF) has been used to describe the relation between traffic volumes and delay experienced by travelers on the roads traveling from origin to destination, which has been usually adopted in traffic assignment. For the purpose of more precise description of traffic pattern, we have to estimate the parameters of VDF in advance. This paper presents a methodology for estimating the parameters, which combined with golden section method. By using the method we have estimated the parameters with real data based on KTDB(2006), and validated them. Compared to the existing values of the parameters, newly estimated values are found to be closer to real world.

Improvements of pursuit performance using episodic parameter optimization in probabilistic games (에피소드 매개변수 최적화를 이용한 확률게임에서의 추적정책 성능 향상)

  • Kwak, Dong-Jun;Kim, H.-Jin
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.40 no.3
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    • pp.215-221
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    • 2012
  • In this paper, we introduce an optimization method to improve pursuit performance of a pursuer in a pursuit-evasion game (PEG). Pursuers build a probability map and employ a hybrid pursuit policy which combines the merits of local-max and global-max pursuit policies to search and capture evaders as soon as possible in a 2-dimensional space. We propose an episodic parameter optimization (EPO) algorithm to learn good values for the weighting parameters of a hybrid pursuit policy. The EPO algorithm is performed while many episodes of the PEG are run repeatedly and the reward of each episode is accumulated using reinforcement learning, and the candidate weighting parameter is selected in a way that maximizes the total averaged reward by using the golden section search method. We found the best pursuit policy in various situations which are the different number of evaders and the different size of spaces and analyzed results.