• 한국생산제조학회지
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• 제24권2호
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• pp.186-191
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• 2015

Presently, rapidly changing and unstable global economic environments demand engineers. Products should be designed to increase profits by lowering costs and provide distinguished performance compared with competitors. This study aims to optimize the design of the power-transmission drive shaft. The mass is reduced as an objective function, and the stress is constrained under a constant value. To reduce the number of experiments, CCD (central composite design) and D-Optimal are used for the experimental design. RSM (response surface methodology) is employed to construct a regression model for the objective functions and constraint function. In this problem, there is only one objective function for the mass. The other objective function gives 1; thus, NSGA-II is used.

• 방송공학회논문지
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• 제19권1호
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• pp.31-43
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• 2014

깊이맵은 3D 입체영상의 생성을 위해 중요한 요소이다. 하지만 깊이 카메라를 이용하여 획득한 깊이맵들은 낮은 해상도를 갖는 단점이 있기 때문에 이를 고해상도로 변환하는 연구들이 활발하게 진행되고 있다. 이러한 연구들은 일반적으로 PSNR, Sharpness Degree, Blur Metric 등과 같은 객관적인 평가방법으로 성능을 검증해왔다. 이러한 평가방법 이외에 DIBR로 가상시점(virtual view)을 생성하여 주관적으로 평가하는 연구도 있으나, 입체영상을 생성하여 깊이맵 업샘플링의 성능을 분석하는 것은 많지 않다. 본 논문에서는 다양한 깊이맵 업샘플링 방법들을 이용하여 생성된 입체영상의 주관적 평가와 업샘플링 방법의 객관적 평가 결과의 상관관계 및 선형회귀법을 이용하여 관련성을 분석한다. 실험결과에서는 에지 PSNR이 시각적 피로도와의 상관관계가 가장 높고, Blur Metric은 가장 낮다는 것을 보여준다. 또한 선형회귀에서는 최적의 입체영상을 얻을 수 있는 객관적 평가의 가중치를 구하고, 기존 또는 새로운 업샘플링 알고리즘의 3D성능을 예측할 수 있는 공식을 보여준다.

• 한국농공학회지
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• 제44권7호
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• pp.1-13
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• 2002

Two global optimization methods, the SCE-UA method and the Annealing-simplex (A-S) method for calibrating a daily rainfall-runoff model, a Tank model, was compared with that of the Downhill Simplex method. The performance of the four objective functions, DRMS (daily root mean square), HMLE (heteroscedastic maximum likelihood estimator), ABSERR (mean absolute error), and NS (Nash-Sutcliffe measure), was tested and synthetic data and historical data were used. In synthetic data study. 100% success rates for all objective functions were obtained from the A-S method, and the SCE-UA method was also consistently able to obtain good estimates. The downhill simplex method was unable to escape from local optimum, the worst among the methods, and converged to the true values only when the initial guess was close to the true values. In the historical data study, the A-S method and the SCE-UA method showed consistently good results regardless of objective function. An objective function was developed with combination of DRMS and NS, which putted more weight on the low flows.

• Structural Engineering and Mechanics
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• 제72권2호
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• pp.181-190
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• 2019

Topology optimization of structures seeking the best distribution of mass in a design space to improve the structural performance and reduce the weight of a structure is one of the most comprehensive issues in the field of structural optimization. In addition to structures stiffness as the most common objective function, frequency optimization is of great importance in variety of applications too. In this paper, an efficient multi-objective Bi-directional Evolutionary Structural Optimization (BESO) method is developed for topology optimization of frequency and stiffness in continuum structures simultaneously. A software package including a Matlab code and Abaqus FE solver has been created for the numerical implementation of multi-objective BESO utilizing the weighted function method. At the same time, by considering the weaknesses of the optimized structure in single-objective optimizations for stiffness or frequency problems, slight modifications have been done on the numerical algorithm of developed multi-objective BESO in order to overcome challenges due to artificial localized modes, checker boarding and geometrical symmetry constraint during the progressive iterations of optimization. Numerical results show that the proposed Multiobjective BESO method is efficient and optimal solutions can be obtained for continuum structures based on an existent finite element model of the structures.

• Journal of Magnetics
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• 제21권4호
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• pp.660-665
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• 2016

The electromagnetic apparatus plays an important role in high power electrical systems. It is of great importance to provide an effective approach for the optimization of the high power electromagnetic apparatus. However, premature convergence and few Pareto solution set of the optimization for electromagnetic apparatus always happen. This paper proposed a modified multi-objective particle swarm optimization algorithm based on the niche sorting strategy. Applying to the modified algorithm, this paper guarantee the better Pareto optimal front with an enhanced distribution. Aiming at shortcomings in the closing bounce and slow breaking velocity of electromagnetic apparatus, the multi-objective optimization model was established on the basis of the traditional optimization. Besides, by means of the improved multi-objective particle swarm optimization algorithm, this paper processed the model and obtained a series of optimized parameters (decision variables). Compared with other different classical algorithms, the modified algorithm has a satisfactory performance in the multi-objective optimization problems in the electromagnetic apparatus.

• ETRI Journal
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• 제44권5호
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• pp.805-815
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• 2022

The model-based evolutionary algorithms are divided into three groups: estimation of distribution algorithms, inverse modeling, and surrogate modeling. Existing inverse modeling is mainly applied to solve multi-objective optimization problems and is not suitable for many-objective optimization problems. Some inversed-model techniques, such as the inversed-model of multi-objective evolutionary algorithm, constructed from the Pareto front (PF) to the Pareto solution on nondominated solutions using a random grouping method and Gaussian process, were introduced. However, some of the most efficient inverse models might be eliminated during this procedure. Also, there are challenges, such as the presence of many local PFs and developing poor solutions when the population has no evident regularity. This paper proposes inverse modeling using random forest regression and uniform reference points that map all nondominated solutions from the objective space to the decision space to solve many-objective optimization problems. The proposed algorithm is evaluated using the benchmark test suite for evolutionary algorithms. The results show an improvement in diversity and convergence performance (quality indicators).

• Structural Engineering and Mechanics
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• 제81권6호
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• pp.677-689
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• 2022

Generally, the goal of seismic retrofit design of an existing structure using energy dissipation devices is to determine the optimum design parameters of a retrofit device to satisfy a specified limit state with minimum cost. However, the presence of multiple parameters to be optimized and the computational complexity of performing non-linear analysis make it difficult to find the optimal design parameters in the realistic 3D structure. In this study, genetic algorithm-based optimal seismic retrofit methods for determining the required number, yield strength, and location of steel slit dampers are proposed to retrofit an asymmetric soft first-story structure. These methods use a multi-objective and single-objective evolutionary algorithms, each of which varies in computational complexity and incorporates nonlinear time-history analysis to determine seismic performance. Pareto-optimal solutions of the multi-objective optimization are found using a non-dominated sorting genetic algorithm (NSGA-II). It is demonstrated that the developed multi-objective optimization methods can determine the optimum number, yield strength, and location of dampers that satisfy the given limit state of a three-dimensional asymmetric soft first-story structure. It is also shown that the single-objective distribution method based on minimizing plan-wise stiffness eccentricity turns out to produce similar number of dampers in optimum locations without time consuming nonlinear dynamic analysis.

• 무역학회지
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• 제43권3호
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• pp.147-168
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• 2018

한국 해외직접투자기업은 저렴한 원재료를 조달하여 낮은 생산요소가격을 지불하는 국가에서 생산하여 세계를 대상으로 판매 및 마케팅을 한다. 이러한 측면에서 글로벌 공급사슬관리는 한국해외직접투자기업에게 중요성이 있고 이에 따라 본 연구는 공급사슬지향성의 수준에 따른 신뢰성 및 품질 성과의 차이를 분석하는 것을 목적으로 한다. 연구목적을 달성하기 위해 본 연구는 선행연구를 통해 변수들 간의 이론적 관계를 확인하였고 측정변수를 도출하여 한국 해외직접투자기업들로부터 설문지를 회수하여 분석하였다. 분석결과는 다음과 같다. 첫째, 공급사슬지향성의 수준에 따른 신뢰성 성과는 차이가 있는 것으로 확인되었다. 관리자는 그들의 현재 공급사슬지향성의 수준을 확인하고 신뢰성 성과를 개선하기 위한 전략적 및 구조적 노력을 해야 한다. 둘째, 공급사슬지향성의 수준에 따른 품질 성과 역시 차이가 있는 것으로 확인되었다. 품질 성과의 개선을 위해 관리자는 그들의 현재 공급사슬지향성의 수준을 파악해야 한다. 이를 통해 관리자는 전략적이고 구조적인 노력을 통해 품질 성과를 개선할 수 있다.

• 한국화재소방학회:학술대회논문집
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• 한국화재소방학회 2008년도 추계학술논문발표회 논문집
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• pp.202-209
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• 2008

Performance based fire engineering design is being adopted around the world as a rationed means of providing efficient and effective fire safety in Building. This development is being supported by the adoption of performance based codes which specify the objective and minimum performance requirements for fire safety traditional design for fire safety which is still practiced in many countries, relies on "prescriptive" codes which specify how a building is to be built, which no statement of objective and little or no opportunity to offer more rational alterative design. It is the aim of this study to investigate and analyze the research direction of structural fire resistance design of RC structures for recommendation of PBD in Korea.

• The Journal of Asian Finance, Economics and Business
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• 제7권4호
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• pp.81-95
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• 2020

The main objective of this research is to investigate the impact of board size and board composition on financial performance of banks. The sample of this study consists on two countries listed bank sector Pakistan and China. The annul data is used from 2009-2018 to find the objective of this study. The Panel regression model is used to check the relationship between dependent and independent variables. Return on Asset and Return on Equity is used as performance checker dependent variables. The results of this study confirm board size coefficient value positive for ROA and negative for ROE but shows insignificant behavior for Pakistani banking sector while in Chinese banking sector the coefficient value of board size positively for ROA and ROE at 10% level. The board composition coefficient shows the negatively significant with ROA but insignificantly related to ROE for Pakistani banking sector. However, in Chinese banking sector the coefficient value of board composition is insignificant for both ROA and ROE. This study is helpful for banks, management of banks, policy makers, researcher as well as Government.