• 대한산업공학회지
• /
• 제28권1호
• /
• pp.76-86
• /
• 2002

In this paper, we suggest a hybrid genetic algorithm reinforced by a fuzzy logic controller (flc-HGA) to overcome weaknesses of conventional genetic algorithms: the problem of parameter fine-tuning, the lack of local search ability, and the convergence speed in searching process. In the proposed flc-HGA, a fuzzy logic controller is used to adaptively regulate the fine-tuning structure of genetic algorithm (GA) parameters and a local search technique is applied to find a better solution in GA loop. In numerical examples, we apply the proposed algorithm to a simple test problem and two complex combinatorial optimization problems. Experiment results show that the proposed algorithm outperforms conventional GAs and heuristics.

• International Journal of Aeronautical and Space Sciences
• /
• 제15권1호
• /
• pp.63-73
• /
• 2014

For robust stability analysis of parameters uncertainty missiles, the traditional frequency domain method can only analyze each respective channel at several interval points within uncertain parameter space. Discontinuous calculation and couplings between channels will lead to inaccurate analysis results. A method based on the ${\nu}$-gap metric is proposed, which is able to comprehensively evaluate the robust stability of missiles with uncertain parameters; and then a genetic-simulated annealing hybrid optimization algorithm, which has global and local searching ability, is used to search for a parameters combination that leads to the worst stability within the space of uncertain parameters. Finally, the proposed method is used to analyze the robust stability of a re-entry missile with uncertain parameters; the results verify the feasibility and accuracy of the method.

• 정보교육학회논문지
• /
• 제15권4호
• /
• pp.543-550
• /
• 2011

본 논문에서는 초등 ICT 정보교육과정의 "프로그래밍의 이해와 기초 및 문제해결전략과 표현" 영역의 효율적인 지도를 위해 프로그래밍 교육과정을 제안하였다. 이를 위해 로봇프로그래밍 교육목표, 교육내용, 교육방법, 교육평가 부분을 제시하였다. 그리고 제안한 교육 방법을 적용한 PBL 기반 라인트레이서 프로그래밍 세부교수학습과정을 제안하고 이를 적용한 수업 결과를 서로 다른 개수의 광센서가 부착된 각 라인트레이서 문제에 대한 난이도 할당의 적절성 및 학생들의 문제해결력 측면에서 분석하였다.

• 한국지반공학회:학술대회논문집
• /
• 한국지반공학회 2000년도 가을 학술발표회 논문집
• /
• pp.151-158
• /
• 2000

A database program, named SLOPMAN, was developed to collect all the information on the slopes with potential hazard around railroad and to setup the effective management system. SLOPMAN is composed of three modules: data control, search and analysis. The program is able to store both text and image data and operated with tabs for the users' ability and convenience. Drop-down menu is equipped to reduce errors and the number of key strokes when inputting data. Searching data is made by codes automatically given to slopes or key words. In the analysis module, RMR and SMR values can be obtained to estimate the stability of slopes.

• 전기학회논문지
• /
• 제59권5호
• /
• pp.866-870
• /
• 2010

This paper presents a application of Harmony Search (HS) algorithm for optimal placement of distributed generations(DGs) in distribution systems. In optimization procedure, the HS algorithm denotes the searching ability for the global optimal solution with simple coding of the iteration procedure, and shows the fast convergence characteristics for getting solutions. The HS algorithm is tested on 9 buses and 69 buses distribution systems, and the results prove its effectiveness to determine appropriate placement points of DGs and reducing amount of active power without the occurrence of any mis-determination in selection of its capacity.

• 한국전산유체공학회지
• /
• 제6권3호
• /
• pp.10-18
• /
• 2001

Genetic Algorithm(GA) is applied to aerodynamic shape optimization and demonstrated its merits in global searching ability and the independency of differentiability. However, applications of GA are limited due to slow convergence rate, premature termination, and high computing costs. The present aerodynamic designs such as wing shape optimizations using GA have seldom been applied because of high computing costs. This paper has two objects; improvement of the efficiency of GA and application of GA into aerodynamic shape optimization for 2D and 3D wings. The study indicates that GA can be applied to aerodynamic design and its performance is comparable to traditional design methods.

• 한국전자거래학회지
• /
• 제6권2호
• /
• pp.127-142
• /
• 2001

For the B2B e-commerce and SCM (Supply Chain Management), standardization of electronic catalogue that contains product and business data is important. Especially, standardization of hierarchies that is required for categorization, and standardization of product properties are difficult and costly to maintain. The ability of searching for items and data in databases is critical for successful e-commerce system. This paper introduces the data dictionary of PUB (ISO 13584) part 42 which can establish the standard of product data. The method is applied to develop the data dictionary of automotive parts.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 19-21 Oct. 1992
• /
• pp.285-289
• /
• 1992

This paper describes a new optimization technique for the design of traffic signal patterns. The proposed method uses a Genetic Algorithm for searching through the better signal patterns. Since the Genetic Algorithm is effective to search directly through a huge binary coded state spaces, the proposed design method has the following advantages over the conventional OR methods: (1) on-line optimization is available within a reasonable time, (2) there is no limitation to the types of signals to be optimized. Some computer simulations are carried out and its ability of getting high quality control in a short period is demonstrated.

• 제어로봇시스템학회논문지
• /
• 제17권12호
• /
• pp.1210-1218
• /
• 2011

GA (Genetic Algorithms) are efficient for searching for global optima but may have some problems such as premature convergence, convergence to local extremum and divergence. These phenomena are related to the evolutionary operators. As population diversity converges to low value, the search ability of a GA decreases and premature convergence or converging to local extremum may occur but population diversity converges to high value, then genetic algorithm may diverge. To guarantee that genetic algorithms converge to the global optima, the genetic operators should be chosen properly. In this paper, we analyze the effects of the selection operator, crossover operator, and mutation operator on convergence properties, and propose the sweeping method of mutation probability and elitist propagation rate to maintain the diversity of the GA's population for getting out of the premature convergence. Results of simulation studies verify the feasibility of using these sweeping operators to avoid premature convergence and convergence to local extrema.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
• /
• pp.426-429
• /
• 2007

When a fire happens in builds or apartments, peoples are tend to be caught in dangerous situations owing to the failure of searching escape route to the outside. In this work, an efficient fire detection and alarm system which makes it possible for the escapers to take adequate actions is proposed. The proposed system consists of two parts. One is fire detection modules which are located at each compartments in a building. The other is fire warning modules equipped with portable flashes having ability of visual/voice warning. Fire detection information is transmitted between each modules wirelessly. In this work, an efficient communication protocol for sensor network-based fire detection system is proposed and its feasibility is verified by practical experiments using MANGO ZDK Development tools