• 제목/요약/키워드: size-optimization

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응답량 재사용을 통한 순차 근사최적설계 (A Sequential Approximate Optimization Technique Using the Previous Response Values)

  • 황태경;최은호;임오강
    • 대한기계학회논문집A
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    • 제29권1호
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    • pp.45-52
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    • 2005
  • A general approximate optimization technique by sequential design domain(SDD) did not save response values for getting an approximate function in each step. It has a disadvantage at aspect of an expense. In this paper, previous response values are recycled for constructing an approximate function. For this reason, approximation function is more accurate. Accordingly, even if we did not determine move limit, a system is converged to the optimal design. Size and shape optimization using approximate optimization technique is carried out with SDD. Algorithm executing Pro/Engineer and ANSYS are automatically adopted in the approximate optimization program by SDD. Convergence criterion is defined such that optimal point must be located within SDD during the three steps. The PLBA(Pshenichny-Lim-Belegundu-Arora) algorithm is used to solve approximate optimization problems. This algorithm uses the second-order information in the direction finding problem and uses the active set strategy.

Adjusting Practical Aims in Optimal Extended Double Sampling Plans

  • Ko, Seoung-gon
    • Communications for Statistical Applications and Methods
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    • 제6권1호
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    • pp.143-150
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    • 1999
  • Ko(1998) proposed a procedure to enhance the efficiency of double sampling plans by allowing second-stage sample size and critical region to depend on first-stage evidence using constraint optimization approaches. In this study further developments of such plans by incorporating several practically possible researcher's aims into the optimization are considered. Comparisons are made with the optimal ordinary double sampling plan and also among them It is observed that it is to some extent possible to match the details of the optimization to certain qualitative methodological aims.

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방사상 기본 함수를 사용한 직접최적화 알고리즘에 관한 연구 (Development of Direct Optimization Algorithms using Radial Basis Functions)

  • Hyeon Cheol Gong
    • 제어로봇시스템학회논문지
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    • 제4권5호
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    • pp.600-607
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    • 1998
  • 일반적인 비선형 동역학 최적화문제를 비선형 프로그래밍 문제로 변환하는데 제어변수들을 방사성 기본 함수로 근사화하는 방법이 사용되었다. 방사성 기본 함수의 계수들을 연속적으로 보정하기 위하여 최소수정기법에 기초를 둔 비선형 프로그래밍 알고리즘이 연구되었다. 이러한 알고리즘을 실제적인 다변수 제어 시스템에 적용하여 성능을 검증하였다.

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다점지지된 TFT-LCD 유리기판의 고유진동수 최적화 (Optimization for the Natural Frequency of the TFT-LCD Glass Plate with Multi-Support Point)

  • 이현승;이영신;김현수;이장원;이세훈
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2005년도 춘계학술대회논문집
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    • pp.246-249
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    • 2005
  • The TFT-LCD is extensively used from a small watch to a large TV display, and the demand is increasing rapidly. The size of R-LCD glass plate becomes more bigger, and the thickness become more thinner with high demands. As a result natural frequency of the TFT-LCD glass plate becomes more lower. The TFT-LCD glass plate will be moved by robot arm and may receive effect of vibration that occur at transfer. Natural frequency of the TFT-LCD glass plate is increased or decrease according to location that robot arm fixs glass plate. Purpose of a this study is finding support location that optimize the first natural frequency of TFT-LCD glass plate. The size optimization method of ANSYS 8.0 is used as the optimization tool search on the optimal support location of TFT-LCD glass plate. The considered number of support point is from 4 to 9.

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Genetic Algorithm을 이용한 상수관망의 최적설계: (II) -민감도 분석을 중심으로- (Optimal Design of Water Distribution Networks using the Genetic Algorithms:(II) -Sensitivity Analysis-)

  • 신현곤;박희경
    • 상하수도학회지
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    • 제12권2호
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    • pp.50-58
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    • 1998
  • Genetic Algorithm (GA) consists of selection, reproduction, crossover and mutation processes and many parameters including population size, generation number, the probability of crossover (Pc) and the probability of mutation (Pm). Determining values of the parameters is found critical in the whole optimization process and a sensitivity analysis with them seems mandatory. This paper tries to demonstrate such importance of sensitivity analysis of GA using an example water supply tunnel network of the New York City. For optimization of the network with GA, Pc and Pm vary from 0.5 to 0.9 by an increment of 0.1 and from 0.01 to 0.05 by an increment of 0.01, respectively, while fixing both the population size and the generation number to 100. This sensitivity analysis results in an optimum design of 22.3879 million dollars at the values of 0.8 and 0.01 for Pc and Pm, respectively. In addition, the probability of recombination (Pr) is introduced to check its applicability in the GA optimization of water distribution network. When Pr is 0.05 with the same values of Pc and Pm as above, the optimum design costs 20.9077 million dollars. This is lower than the cost of 22.3879 million dollars for the case of not using Pr by 6.6%. These results indicate that conducting a sensitivity analysis with parameter values and using Pr are useful in the optimization of WDN.

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위성안테나 브레켓의 최적설계 (Optimum Design of Bracket for Satellite Antenna)

  • 황태경;임오강;이진식;이종옥
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2003년도 춘계학술대회
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    • pp.451-455
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    • 2003
  • Major concern in modern industry is how to reduce the time and cost for product efficient production. Among many mechanical parts of a satellite, bracket plays an important role to support the load when the satellite is launched to space. so enough strength and stiffness. A designer could add unnecessary material and strength it so as not to fail when it used. But if mechanical part of satellite is over-designed, cost will rise and it also goes against to the aim of lightness. To achieve lightness and enough strength and stiffness, optimization algorithm should be introduced in design process. In this study, conceptual design of bracket is carried out to increase the performance of satellite. Some parameter which could change the weight of this part are selected as design variables. Total weight of bracket is to be minimized while displacement and stress should not exceed limit. Size optimization is done with 3D solid element and PLBA, the RQP algorithm. The weight of 0.262kg of initial model is reduced to 0.241kg after optimization process, so 9.8% of weight reduction is obtained.

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Microcanonical Optimization을 이용한 BDD의 최소화 기법 (A Minimization Technique for BDD based on Microcanonical Optimization)

  • 이민나;조상영
    • 정보처리학회논문지A
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    • 제8A권1호
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    • pp.48-55
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    • 2001
  • Using BDD, we can represent Boolean functions uniquely and compactly, Hence, BDD have become widely used for CAD applications, such as logic synthesis, formal verification, and etc. The size of the BDD representation for a function is very sensitive to the choice of orderings on the input variables. Therefore, it is very important to find a good variable ordering which minimize the size of the BDD. Since finding an optimal ordering is NP-complete, several heuristic algorithms have been proposed to find good variable orderings. In this paper, we propose a variable ordering algorithm based on the $\mu$O(microcanonical optimization). $\mu$O consists of two distinct procedures that are alternately applied : Initialization and Sampling. The initialization phase is to executes a fast local search, the sampling phase leaves the local optimum obtained in the previous initialization while remaining close to that area of search space. The proposed algorithm has been experimented on well known benchmark circuits and shows superior performance compared to a algorithm based on simulated annealing.

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프로젝션 기법을 활용한 위상 최적설계 (Topology Design Optimization using Projection Method)

  • 하승현
    • 한국전산구조공학회논문집
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    • 제29권4호
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    • pp.293-299
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    • 2016
  • 본 논문은 확장된 프로젝션 기법을 사용한 위상 최적설계 방법을 다루고 있다. 다양한 형상과 길이 스케일을 가지는 프로젝션 함수를 개발해 위상 최적설계 기법에 적용시킴으로써, 복합재료의 설계에서 형상 및 크기가 미리 주어진 보강재의 최적 배치를 위상 최적설계를 통해 결정할 수 있음을 확인하였다. 또한 이와 같은 프로젝션 기법이 균질화법과 결합되어 체적탄성률 또는 전단탄성률 등의 유효 재료특성을 최대화시키는 단위 구조를 설계함으로써, 주기 구조를 가지는 복합재료에서 보강재의 최적 배치를 결정하고 그 유효 재료특성값을 수치적으로 계산할 수 있음을 여러 수치 예제들을 통해서 검증하였다.

유전자 알고리즘을 이용한 고정 셀에서 글자 폰트(font) 최적화 (Word Processor font optimization in Fixed-function cell Using a Genetic Algorithm)

  • 김상원;김승희;김우제
    • 한국컴퓨터정보학회논문지
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    • 제18권10호
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    • pp.163-172
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    • 2013
  • 본 연구는 유전자알고리즘을 사용하여 표의 크기에 맞게 가장 최적화된 글자로 표현할 수 있는 방법을 실험하였다. 그 결과 셀의 넓이와 높이, 입력받을 글자의 개수를 계산하여 글자 크기, 줄 간격, 자간 간격의 최적의 값을 찾아 길이가 서로 다른 글자를 최적화된 상태로 표현할 수 있도록 폰트를 제공할 수 있었다. 본 연구는 유전자 알고리즘을 통하여 현재 사용하고 있는 다양한 워드프로세스에서 발생되고 있는 셀 고정 상태에서의 글자 최적화 문제에 대한 해결 방법을 제시하였다는데 그 의의가 있다.

Optimization of Detention Basin at Watershed Level Scale

  • Ngo, Thi Thuy;Yazdi, Jafar;Kim, Joong Hoon
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2015년도 학술발표회
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    • pp.218-218
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    • 2015
  • Urbanization and waterworks construction in natural watershed have been causing higher flood risks in lowland areas. Detention basins have become one of the most efficient fundamental instruments for storm water and environmental management at watershed scale. Nowadays, there are many studies coupled numerical methods of flood routing with optimization algorithms to investigate factors that impact on the efficiency of detention basins in flood reduction in a watershed, such as detention basin location, size, and cost and watershed characteristics. Although these couplings have been become more widespread but cumbersome computation and hydraulic data requirement still are their limitations. To tackle the procedure efforts due to numerical integration and data collection, simple approach is proposed to primarily estimate effects of detention basins. The approach basis is the linear system theory applied to the solution of hydrologic flood routing. The paper introduces an analytical method for estimating detention effects deriving by recent studies and innovatively analyses this equation on fractal perspective. Then, an optimization technique is performed by applying harmony search algorithms (HSA) to optimize efficiency of detention basins at watershed scale. The location and size of upstream detention basin are simultaneously obtained. Finally, the proposed methodology, practically applied for a real watershed in Kan river, Iran.

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