• 대한전기학회논문지:전력기술부문A
• /
• 제48권6호
• /
• pp.704-711
• /
• 1999

This paper presents a design of fuzzy power system stabilizer (FPSS) using adaptive evolutionary computation (AEC). We have proposed an adaptive evolutionary algorithm which uses a genetic algorithm (GA) and an evolution strategy (ES) in an adaptive manner in order to take merits of two different evolutionary computations. FPSS shows better control performances than conventional power system stabilizer (CPSS) in three-phase fault with heavy load which is used when tuning FPSS. To show the robustness of the proposed FPSS, it is appliedto damp the low frequency oscillations caused by disturbances such as three-phase fault with normal and light load, the angle deviation of generator with normal and light load and the angle deviation of generator with heavy load. Proposed FPSS shows better robustness than CPSS.

• 전자공학회논문지C
• /
• 제34C권5호
• /
• pp.66-70
• /
• 1997

This paper presents a parallel combinatorial variant of evolution strategy (PCES) to solve well-known combinatorial optimization problems, Quadratic assignment problems (QAPs). The PCES reduces the possibility of getting stuck in local minima due to maintenance of subpopulation and thus it is more effective than the CES. Experiment results on two benchmark problems show that the PCES is better than the cES and the genetic algorithm(GA).

• KIEE International Transactions on Electrophysics and Applications
• /
• 제4C권6호
• /
• pp.276-281
• /
• 2004

In this paper, the optimal design of a novel microstrip directional coupler with a grooved housing for high directivity characteristic is presented. It will be shown that the high directivity of the microstrip coupler can be achieved simply by attaching an optimized housing structure. over the microstrip, which is much easier to fabricate than other conventional types. The dimensions of the proposed structure are maximized by using (1+1) evolution strategy (ES) combined with the deterministic algorithm. To improve the effectiveness of the results, efficient optimization procedures suitable for the model are proposed. From these results, it is determined that the proposed structure indicates an improved directivity. The optimized results are verified by full wave analysis at the center frequency of 850MHz.

• KIEE International Transaction on Systems and Control
• /
• 제2D권2호
• /
• pp.53-58
• /
• 2002

In this paper, various aspects in magnetoencephalography (MEG) source localization are studied. To minimize the errors in experimental data, an approximation technique using a polynomial function is proposed. The simulation shows that the proposed technique yields more accurate results. To improve the convergence characteristics in the optimization algorithm, a hybrid algorithm of evolution strategy and sensitivity analysis is applied to the neuromagnetic inverse problem. The effectiveness of the hybrid algorithm is verified by comparison with conventional algorithms. In addition, an artificial neural network (ANN) is applied to find an initial source location quickly and accurately. The simulation indicates that the proposed technique yields more accurate results effectively.

• 한국정보통신학회:학술대회논문집
• /
• 한국해양정보통신학회 2008년도 지능정보 및 응용 학술대회
• /
• pp.149-150
• /
• 2008

일반적으로, 소나 표적의 식별을 위한 PSR(Propeller Shaft Rate) 추정 알고리즘은 다음의 문제점들을 가지고 있다. 즉, 주파수 스펙트럼으로부터 하모닉군을 구별하는 것은 필수적이면서도 어렵기 때문에 정확하고 효율적인 구별법을 요구한다. 나아가, 구조와 파라메터에 있어서 용이한 설계 절차를 요구한다. 이 문제들을 해결하기 위해서 전문가 지식 및 진화 전략(ES : Evolution Strategy)을 이용하는 진화적인 PSR 추정기가 제안되었다. 시뮬레이션 결과는 제안된 알고리즘이 그 문제점들을 효과적으로 해결할 수 있음을 보여준다.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 1994년도 추계학술대회 논문집 학회본부
• /
• pp.408-410
• /
• 1994

This Paper Presents a learning strategy for neural networks based on genetic algorithms and evolution strategies. Genetic algorithms and evolution strategies are used to train weights of feedforward neural network to solve problems faster than neural network, especially backpropagation. Simulations are performed exclusive-OR problem, full-adder problem, sine function generator to demonstrate the effectiveness of neural-GA-ES.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 1994년도 추계학술대회 논문집 학회본부
• /
• pp.359-361
• /
• 1994

This paper propose a Neural - GA-ES DC motor speed controller. The purpose is to achieve accurate trajectory control of the motor speed. A feedforward neural network structure is used for the controller. Genetic algorithm and evolution strategy is used for learning controller. Simulations are performed to demonstrate the effectiveness of proposed genetic algorithm and evolution strategy with neural structure.

• 한국철도학회논문집
• /
• 제10권3호
• /
• pp.306-312
• /
• 2007

This paper presents the optimal design method of the train repair facility based on the simulation analysis. The train is divided into the power car, motorized car and passenger car for the simulation process analysis and train repair facility is composed of each subsystems such as a blast, dry and wash workshop. In simulation analysis, we consider the critical (dependent) factors and design (independent) factors for the optimal design. Therefore, a simulation optimization uses Evolution Strategy (ES) in order to find the optimal design factors. Experimental results indicate that simulation design factors are sufficient to satisfy the conditions of dependent variables. The proposed analysis method demonstrates that simulation design factors determined by the simulation optimization are appropriate for real design factors in a real situation and the accuracy and confidence for the simulation results are increased.

• 한국정보통신설비학회:학술대회논문집
• /
• 한국정보통신설비학회 2002년도 하계학술대회 및 세미나
• /
• pp.10-12
• /
• 2002

본 논문에서는 TEM Cell 의 최적 설계방법을 제안한다. 임피던스 부정합을 최소화 시키기 위해 Cell 내부의 특성 임피던스를 $50{\Omega}$으로 유지하며, 동시에 중심 도체판(Septum)의 길이와 도체판 날개(winglet)의 각을 변화 시킴으로써 내부 전자파의 균일도(Uniformity)를 최대로 하는 TEM Cell의 최적설계 방법을 제안하며 (1+1)ES를 적용하여 시험영역을 최대로 하는 최적 설계 변수들을 제시한다.

• Journal of the Optical Society of Korea
• /
• 제11권2호
• /
• pp.55-58
• /
• 2007

We propose a systematic method for design of fiber-optic surface plasmon resonance (SPR) sensors. We used rigorous coupled wave analysis (RCWA) for analysis of the transmission spectrum, and the (1+1) evolution strategy (ES) was employed as an optimization tool. The simulation results show that the optimization method presented here is very useful in designing fiber-optic SPR sensor for strain and temperature measurement. This algorithm can be extended to another objective function with other weighting factors and optical parameters.