• 제목/요약/키워드: Objective Function

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SVQR with asymmetric quadratic loss function

  • Shim, Jooyong;Kim, Malsuk;Seok, Kyungha
    • Journal of the Korean Data and Information Science Society
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    • 제26권6호
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    • pp.1537-1545
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    • 2015
  • Support vector quantile regression (SVQR) can be obtained by applying support vector machine with a check function instead of an e-insensitive loss function into the quantile regression, which still requires to solve a quadratic program (QP) problem which is time and memory expensive. In this paper we propose an SVQR whose objective function is composed of an asymmetric quadratic loss function. The proposed method overcomes the weak point of the SVQR with the check function. We use the iterative procedure to solve the objective problem. Furthermore, we introduce the generalized cross validation function to select the hyper-parameters which affect the performance of SVQR. Experimental results are then presented, which illustrate the performance of proposed SVQR.

유사생물학적 대상 함수를 이용한 IMRT 최적화 알고리즘 가능성에 관한 연구 (A Feasibility Study of the IMRT Optimization with Pseudo-Biologic Objective Function)

  • 이병용;조삼주;안승도;김종훈;최은경;장혜숙;권수일
    • Journal of Radiation Protection and Research
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    • 제26권4호
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    • pp.417-424
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    • 2001
  • 세기 조절 방사선 치료 최적화 대상 함수로 이용하기 위하여 유사 생물학적 대상 함수를 고안하여, 그 가능성을 살펴보았다. 치료 계획 장치는 본 연구진이 개발한 RTP Tool Box(RTB)를 사용하였다. 수학적으로 생물학적 대상 함수와 비슷하나, 사용하는 상수들은 물리적인 인자를 사용한 유사 생물학적(Pseudo-biologic) 대상 함수를 도입하였다. 치료하고자 하는 표적에 대하여는 표적 포함인자(TCI, Target Coverage Index) 개념을 도입하였고, 정상 장기에 대해서는 조직성적 인자(OSI, Organ Score Index) 개념을 도입하였다. 또한 TCI와 OSI 개념을 사용하여 대상함수 S를 정의하였다. 어떤 종류의 대상 함수를 사용하든 표적 선량의 분포는 비슷한 추세를 보였으나, 유사 생물학적 대상 함수를 사용한 경우 정상 조직의 선량 분포가 물리적인 대상 함수를 사용한 치료 계획보다 낮게 나와 세기조절 방사선 치료의 대상 함수로 사용할 수 있음을 보였다.

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Multi-Objective Optimization Using Kriging Model and Data Mining

  • Jeong, Shin-Kyu;Obayashi, Shigeru
    • International Journal of Aeronautical and Space Sciences
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    • 제7권1호
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    • pp.1-12
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    • 2006
  • In this study, a surrogate model is applied to multi-objective aerodynamic optimization design. For the balanced exploration and exploitation, each objective function is converted into the Expected Improvement (EI) and this value is used as fitness value in the multi-objective optimization instead of the objective function itself. Among the non-dominated solutions about EIs, additional sample points for the update of the Kriging model are selected. The present method was applied to a transonic airfoil design. Design results showed the validity of the present method. In order to obtain the information about design space, two data mining techniques are applied to design results: Analysis of Variance (ANOVA) and the Self-Organizing Map (SOM).

Application of multi objective genetic algorithm in ship hull optimization

  • Guha, Amitava;Falzaranoa, Jeffrey
    • Ocean Systems Engineering
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    • 제5권2호
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    • pp.91-107
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    • 2015
  • Ship hull optimization is categorized as a bound, multi variable, multi objective problem with nonlinear constraints. In such analysis, where the objective function representing the performance of the ship generally requires computationally involved hydrodynamic interaction evaluation methods, the objective functions are not smooth. Hence, the evolutionary techniques to attain the optimum hull forms is considered as the most practical strategy. In this study, a parametric ship hull form represented by B-Spline curves is optimized for multiple performance criteria using Genetic Algorithm. The methodology applied to automate the hull form generation, selection of optimization solvers and hydrodynamic parameter calculation for objective function and constraint definition are discussed here.

ON THE CONVERGENCE OF THE UOBYQA METHOD

  • Han, Lixing;Liu, Guanghui
    • Journal of applied mathematics & informatics
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    • 제16권1_2호
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    • pp.125-142
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    • 2004
  • We analyze the convergence properties of Powell's UOBYQA method. A distinguished feature of the method is its use of two trust region radii. We first study the convergence of the method when the objective function is quadratic. We then prove that it is globally convergent for general objective functions when the second trust region radius p converges to zero. This gives a justification for the use of p as a stopping criterion. Finally, we show that a variant of this method is superlinearly convergent when the objective function is strictly convex at the solution.

A Multi-Resource Leveling Algorithm for Project Networks

  • Lee, Chung-Ung
    • 한국국방경영분석학회지
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    • 제3권1호
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    • pp.123-136
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    • 1977
  • This thesis presents a modification and extension to the Burgess and Killebrew heuristic resource leveling procedure for project networks. In contrast to previous algorithms appearing in the literature, the objective function of this algorithm. is the minimization of the sum of the squared errors in each time period (deviations around the mean usage) of all resources over the duration of the project. This objective function continues the search for an improved schedule beyond that of previous algorithms with their associated objective functions. One important feature is that the algorithm tends to reduce the number of periods that a resource is idle during its duration on the project.

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대중교통 노선망 설계에 관한 해석적 연구의 모형 구조와 풀이 (Model Structure and its Solution of Analytical Research on Transit Network Design)

  • 박준식;권용석
    • 대한교통학회지
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    • 제25권6호
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    • pp.129-140
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    • 2007
  • 대중교통 운행계획 수립과정은 이론적인 연구의 특성에 따라 설계, 운영, 그리고 평가 단계로 구분할 수 있다. 운영단계와 평가단계에서 이루어지는 연구들에 대해서는 비교적 체계적으로 정리된 연구와 보고서들이 있으나 설계단계에 관한 연구들은 체계적으로 정리된 적이 없다. 본 연구에서는 대중교통 시스템설계에 관한 기존의 연구들을 검토하여 체계적으로 정리하였다. 또한 해당 연구들의 모형 구조를 자세히 분석하여 이의 풀이법을 정리하여 제시하였다. 설계단계에서 결정되는 결정변수로는 노선(망)의 구조, 노선간격 및 위치, 정류장 간격, 배차간격, 및 소요차량수 등이 있다. 노선설계에 관한 해석적 연구에서는 시스템의 총 비용이 목적함수로 많이 사용되고 이는 이용자의 접근비용, 대기비용, 그리고 통행비용으로 구성되는 이용자비용과 운영자의 운영비용으로 구성된다. 목적함수로 사용되는 대중교통 시스템의 총 비용은 노선간격, 배차간격 등의 결정변수들에 대해 미분가능하고 미분값을 0으로 만드는 값이 존재하며 2계 미분값이 양수이기 때문에 전역 최적해가 존재한다. 따라서 목적함수의 미분값을 0으로 만드는 결정변수가 목적함수를 최소로 만드는 최적치가 되며 이 최적치에서 각 부분 함수값들은 모두 동일해지게 된다. 본 연구는 대중교통 운행계획 중 설계단계의 해석적 연구에 대한 체계적인 이해를 도모할 것이며, 관련 연구를 활성화시키는데 큰 도움이 될 것으로 기대된다.

Optimal Structural Design for Flexible Space Structure with Control System Based on LMI

  • Park, Jung-Hyen;Cho, Kyeum-Rae
    • Journal of Mechanical Science and Technology
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    • 제16권1호
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    • pp.75-82
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    • 2002
  • A simultaneous optimal design problem of structural and control systems is discussed by taking a 3-D truss structure as an object. We use descriptor forms for a controlled object and a generalized plant because the structural parameters appear naturally in these forms. We consider a minimum weight design problem for structural system and disturbance suppression problem for the control system. The structural objective function is the structural weight and the control objective function is $H_{\infty}$ norm from the disturbance input to the controlled output in the closed-loop system. The design variables are cross sectional areas of the truss members. The conditions for the existence of controller are expressed in terms of linear matrix inequalities (LMI) By minimizing the linear sum of the normalized structural objective function and control objective function, it is possible to make optimal design by which the balance of the structural weight and the control performance is taken. We showed in this paper the validity of simultaneous optimal design of structural and control systems.

수질학적 관점에서의 수문모델 유출량 보정 방법 평가 (Evaluating Calibration Methods of Stream Flow for Water Quality Management)

  • 전지홍;최동혁;김정진;김태동
    • 한국물환경학회지
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    • 제25권3호
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    • pp.432-440
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    • 2009
  • The effect of selecting hydrologic item for calculating objective function on calibration of stream flow was evaluated by Hydrologic Simulation Porgram-Fortran (HSPF) linked with Model Independent Parameter Optimizer (PEST). Daily and monthly stream flow and flow duration were used to calculate objective function. Automated calibration focused on monthly stream was proper to analyze seasonal or yearly water budget but not proper to predict daily stream flow or percent chance flow exceeded. Calibration result focused on flow duration is proper to predict precent chance flow exceeded but not proper to analyze water budget or predict peak flow. These results indicate that hydrologic item calculated for objective function on calibration procedure could influence calibration results and watershed modeler should select carefully hydrologic item for the purpose of model application. Current, the criteria of stream flow of Korean TMDL is generated based on percent chance flow exceeded, so flow duration should be included to calculate objective function on calibration procedure for the estimation of criteria of stream flow using hydrologic model.

Pareto 최적점 기반 다목적함수 기법에 의한 이중선각유조선의 최적 구조설계 (Optimum Structural Design of D/H Tankers by using Pareto Optimal based Multi-objective function Method)

  • 나승수;염재선;한상민
    • 대한조선학회논문집
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    • 제42권3호
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    • pp.284-289
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    • 2005
  • A structural design system is developed for the optimum design of double hull tankers based on the multi-objective function method. As a multi-objective function method, Pareto optimal based random search method is adopted to find the minimum structural weight and fabrication cost. The fabrication cost model is developed by considering the welding technique, welding poses and assembly stages to manage the fabrication man-hour and process. In this study, a new structural design is investigated due to the rapidly increased material cost. Several optimum structural designs on the basis of high material cost are carried out based on the Pareto optimal set obtained by the random search method. The design results are compared with existing ship, which is designed under low material cost.