• 제목/요약/키워드: Multi-objective Function

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다목적함수를 이용한 지능형 브레이커의 타격성능 최적화 (Impact Performance Optimization of Auto-Sensing Breaker using Multi-objective Function)

  • 이대희;노대경;박성수;이근호;강영기;조재상;장주섭
    • 한국시뮬레이션학회논문지
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    • 제26권4호
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    • pp.11-21
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    • 2017
  • 본 논문에서는 선행연구에서 신뢰성을 확보한 지능형 브레이커의 해석모델을 바탕으로 지능형 브레이커의 타격성능 개선을 위한 설계변수 민감도 분석 및 다목적함수 최적화를 다룬다. 본 연구에서는 타격출력만을 향상시키는 기존의 연구를 보완하여 타격출력과 안정성 모두를 개선시키는 것을 목표로 한다. 연구를 진행하는 순서는 다음과 같다. 먼저 정확한 민감도 분석 및 최적화를 진행하기 위하여 해석 시나리오를 설정한다. 그 후 지능형 브레이커의 설계변수 민감도를 분석하고, 상위 민감도를 가지는 변수를 추출한다. 마지막으로 추출한 변수를 사용하여 다목적함수 최적화를 진행하고, 초기 성능과 최적화된 성능의 비교를 통해 기존 지능형브레이커에서 타격성능이 얼마나 향상되었는지 파악한다. 이러한 연구를 통해 국내 기술력으로 기존 해외 선진사의 제품보다 타격성능이 향상된 제품을 개발할 수 있는 가능성을 확보할 수 있다.

다양한 목적 함수와 최적화 방법을 달리한 SIMHYD와TANK 모형의 적용성 연구 (The Applicability Study of SYMHYD and TANK Model Using Different Type of Objective Functions and Optimization Methods)

  • 성윤경;김상현;김현준;김남원
    • 한국수자원학회논문집
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    • 제37권2호
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    • pp.121-131
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    • 2004
  • 일 단위 강우-유출 모형인 SIMHYD와 TANK를 소양강댐과 영천댐 유역에 적용하여 유출을 예측하였다. 7개의 매개변수를 가진 SIMHYD와 17개의 변수를 가진 TANK모형을 국내 유역에 적용하여 모형의 적용성을 비교 평가하였다. 두 모형에 세 가지 목적함수를 달리하여 세 가지의 최적화 방법(유전자 알고리즘, Pattern Search MUlti-Start, Shuffled Complex Evolution Algorithm)을 적용하여 모형과 목적함수에 따른 관측 유출량에 대한 모의유출량의 모의 효율을 비교하였다. TANK모형의 모의 효율이 SIMHYD 모형의 모의 효율에 비해 높게 나타났다. 목적함수를 달리할 경우는 무차원 함수인 Nash-Sutcliffe 계수를 비교하는 것이 모델의 적용성을 평가하는데 적합한 것으로 평가되었다.

대단위 부품-기계 군집 문제를 위한 Look-ahead 휴리스틱 알고리듬 (A Look-ahead Heuristic Algorithm for Large-scale Part-Machine Grouping Problems)

  • 백종관;백준걸;김창욱
    • 한국경영과학회지
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    • 제30권3호
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    • pp.41-54
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    • 2005
  • In this paper, we consider a multi-objective machine cell formation problem. This problem Is characterized as determining part route families and machine cells such that total sum of inter-ceil part movements and maximum machine workload imbalance are simultaneously minimized. Together with the objective function, alternative part routes and the machine sequences of part routes are considered In grouping Part route families. Due to the complexity of the problem, a two-phase heuristic algorithm is proposed. And we developed an n-stage look-ahead heuristic algorithm that generalizes the roll-out algorithm. Computational experiments were conducted to verify the performance of the algorithm.

유전 알고리즘과 3차원 공간고조파법을 이용한 Soltless Type PMLSM의 최적설계에 관한 연구 (A Study on the Optimum Design of Soltless Type PMLSM Using Genetic Algorithm and 3-D Space Harmonic Method)

  • 이동엽;김규탁
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제53권8호
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    • pp.463-468
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    • 2004
  • This paper was applied space harmonic method as a characteristic analysis technique for slotless PMLSM. There is advantages of active response to the change of design parameters as well as reduction of the calculation time. The method can be overcome disadvantages of finite element analysis that needs long times calculation, repetitions of pre and post-process. In this paper, 3D-space harmonic method was applied to consider the precise description of end turn coil shape and the changes of characteristic according to changes of length of z-axis direction. The thrust of optimal design was performed using genetic algorithm to enhance the thrust which is the disadvantage of slotless type PMLSM. For design parameters, width of permanent magnet, width of coil, width of coil inner and lengths of z-axis direction were selected. For objective functions. thrust per weight. thrust per volume. multi-objective function was selected.

Trade-off Analysis in Multi-objective Optimization Using Chebyshev Orthogonal Polynomials

  • Baek Seok-Heum;Cho Seok-Swoo;Kim Hyun-Su;Joo Won-Sik
    • Journal of Mechanical Science and Technology
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    • 제20권3호
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    • pp.366-375
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    • 2006
  • In this paper, it is intended to introduce a method to solve multi-objective optimization problems and to evaluate its performance. In order to verify the performance of this method it is applied for a vertical roller mill for Portland cement. A design process is defined with the compromise decision support problem concept and a design process consists of two steps: the design of experiments and mathematical programming. In this process, a designer decides an object that the objective function is going to pursuit and a non-linear optimization is performed composing objective constraints with practical constraints. In this method, response surfaces are used to model objectives (stress, deflection and weight) and the optimization is performed for each of the objectives while handling the remaining ones as constraints. The response surfaces are constructed using orthogonal polynomials, and orthogonal array as design of experiment, with analysis of variance for variable selection. In addition, it establishes the relative influence of the design variables in the objectives variability. The constrained optimization problems are solved using sequential quadratic programming. From the results, it is found that the method in this paper is a very effective and powerful for the multi-objective optimization of various practical design problems. It provides, moreover, a reference of design to judge the amount of excess or shortage from the final object.

다기준 의사결정 모형을 이용한 전력수급계획 모형에 관한 연구 (A study on the power expansion planning model using multi-criteria decision making rule)

  • 한석만;강동주;김광모;홍희정;김발호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 추계학술대회 논문집 전력기술부문
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    • pp.77-79
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    • 2008
  • The power expansion planning is large and capital intensive capacity planning. In the past, the expansion planning was established with the proper supply reliability in order to minimize social cost. However, the planning not used cost minimizing objective function in the power markets with many market participants. This paper proposed the power expansion planning model using multi-criteria decision rule. This model used multi objective function considering not only cost minimizing but also GENCO's intension. This paper compared proposed model with WASP model in order to verify the result of proposed model.

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Sparse and low-rank feature selection for multi-label learning

  • Lim, Hyunki
    • 한국컴퓨터정보학회논문지
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    • 제26권7호
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    • pp.1-7
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    • 2021
  • 본 논문에서는 다중 레이블 분류를 위한 특징 선별 기법을 제안한다. 기존 많은 특징 선별 기법들은 상호정보척도 등을 이용하여 특징과 레이블 사이의 연관성을 계산하여 특징을 선별하였다. 하지만 상호정보척도는 결합 확률을 요구하기 때문에 실제 전제 특징 집합에서 결합 확률을 계산하는 것은 어렵다. 따라서 소수의 특징만 계산이 가능하여 지역적 최적화만 가능하다는 단점을 가진다. 이런 지역적 최적화 문제를 피해, 주어진 특징 전체 공간에서 저랭크 공간을 구성하고, 희소성을 가진 특징들을 선별할 수 있는 특징 선별 기법을 제안한다. 이를 위해 뉴클리어 노름을 이용해 회귀 기반의 목적함수를 설계하였고, 이 목적 함수의 최적화 문제를 풀기 위한 경사하강법 방식의 알고리즘을 제안하였다. 4가지의 데이터와 3가지 다중 레이블 분류 성능을 기준으로 다중 레이블 분류 실험 결과를 통해 제안하는 방법론이 기존 특징 선별 기법보다 좋은 성능을 나타내는 것을 보였다. 또한 제안하는 목적함수의 파라미터 값 변화에도 성능 변화가 둔감한 것을 실험적인 결과로 확인하였다.

Multi-Criteria Decision-Making Model Using Quality Function Deployment (QFD) Method for the Most Suitable Temporary Earth Retaining System

  • Jung, Bae Yu;Byung, Cho Han;Jin, Han Sang;Won, Kwon;Ho, Jo Jae;Youl, Chun Jae
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.620-621
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    • 2015
  • In this study, the multi-criteria decision-making model based on Quality Function Deployment Method is proposed. Multicriteria decision-making is an attempt to link QFD method with the TOPSIS. By this effort, a model that makes client's decision-making more rational and objective in design phase is suggested. The multi-criteria decisionmaking model confirming to the Owner's requirements will improve the productivity of the construction industry and the satisfaction of the customer. Further study extending the range of the requirements, not only the Owner's requirement will be necessary to cover the various factors as much as possible. And then, finally as a flexible platform to achieve a sustainable quality management, web-based multi-criteria decision-making model can be utilized by the relevant stakeholders simultaneously with the feed-back and sharing the necessary informations.

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가공특성 지식DB를 통한 고속가공에서 최적조건선정에 관한 연구 (A Study on Optimization of Cutting Conditions Using Machining Characteristics DB in High Speed Machining)

  • 원종률;남성호;홍원표;이석우;최헌종
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 춘계학술대회 논문집
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    • pp.163-168
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    • 2005
  • It is one of the most important things to determinate optimized cutting conditions which satisfy productivity and cost simultaneously in production and CAPP systems. These days many researchers have figured out the optimizing way for solutions of multi-object function to find the approach methods using algorithm such as genetic algorithm or tabu search, etc., instead of mathematical methods. The main creation of objective function is proposed by empirical method but which is difficult to set it up and to analysis. In this paper, an optimization method of cutting condition is shown using the ANN and GA for the multi-objective function in high speed machining.

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Study of Optimal Location and Compensation Rate of Thyristor-Controlled Series Capacitor Considering Multi-objective Function

  • Shin, Hee-Sang;Cho, Sung-Min;Kim, Jin-Su;Kim, Jae-Chul
    • Journal of Electrical Engineering and Technology
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    • 제8권3호
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    • pp.428-435
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    • 2013
  • Flexible AC Transmission System (FACTS) application study on enhancing the flexibility of AC power system has continued to make progress. A thyristor-controlled series capacitor (TCSC) is a useful FACTS device that can control the power flow by adjusting line impedances and minimize the loss of power flow and voltage drop in a transmission system by adjusting line impedances. Reduced power flow loss leads to increased loadability, low system loss, and improved stability of the power system. This study proposes the optimal location and compensation rate method for TCSCs, by considering both the power system loss and voltage drop of transmission systems. The proposed method applies a multi-objective function consisting of a minimizing function for power flow loss and voltage drop. The effectiveness of the proposed method is demonstrated using IEEE 14- and a 30-bus system.