• Title/Summary/Keyword: continuous search space

Search Result 61, Processing Time 0.025 seconds

Shape Design of Micro Electrostatic Actuator using Multidimensional Design Windows (다차원 설계윈도우 탐색법을 이용한 마이크로 액추에이터 형상설계)

  • Jeong, Min-Jung;Kim, Yeong-Jin;Daisuke Ishihara;Yoshimura, Shinobu;Yagawa, Genki
    • Transactions of the Korean Society of Mechanical Engineers A
    • /
    • v.25 no.11
    • /
    • pp.1796-1801
    • /
    • 2001
  • For micro-machines, very few design methodologies based on optimization hale been developed so far. To overcome the difficulties of design optimization of micro-machines, the search method for multi-dimensional design window (DW)s is proposed. The proposed method is defined as areas of satisfactory design solutions in a design parameter space, using both continuous evolutionary algorithms (CEA) and the modified K-means clustering algorithm . To demonstrate practical performance of the proposed method, it was applied to an optimal shape design of micro electrostatic actuator of optical memory. The shape design problem has 5 design parameters and 5 objective functions, and finally shows 4 specific design shapes and design characters based on the proposed DWs.

Optimization and Verification of Parameters Used in Successive Zooming Genetic Algorithm (순차적 주밍 유전자 알고리즘 기법에 사용되는 파라미터의 최적화 및 검증)

  • KWON YOUNG-DOO;KWON HYUN-WOOK;KIM JAE-YONG;JIN SEUNG-BO
    • Journal of Ocean Engineering and Technology
    • /
    • v.18 no.5
    • /
    • pp.29-35
    • /
    • 2004
  • A new approach, referred to as a successive zooming genetic algorithm (SZGA), is proposed for identifying a global solution, using continuous zooming factors for optimization problems. In order to improve the local fine-tuning of the GA, we introduced a new method whereby the search space is zoomed around the design variable with the best fitness per 100 generation, resulting in an improvement of the convergence. Furthermore, the reliability of the optimized solution is determined based on the theory of probability, and the parameter used for the successive zooming method is optimized. With parameter optimization, we can eliminate the time allocated for deciding parameters used in SZGA. To demonstrate the superiority of the proposed theory, we tested for the minimization of a multiple function, as well as simple functions. After testing, we applied the parameter optimization to a truss problem and wicket gate servomotor optimization. Then, the proposed algorithm identifies a more exact optimum value than the standard genetic algorithm.

Planning Directions of Community Facilities Integrating Generations based on Local Communities

  • Jae Hee CHUNG;Ji Min KIM;Su Jin LEE;Sung Ze YI
    • The Journal of Economics, Marketing and Management
    • /
    • v.12 no.1
    • /
    • pp.39-51
    • /
    • 2024
  • Purpose: This study aims to derive planning directions of community facilities integrating generations based on local communities to promote sustainable intergenerational exchange by analyzing the spatial configuration and programs of domestic and foreign generation-integrated community facilities based on local communities. Research design, data and methodology: Through theoretical consideration, the concept of intergenerational integration, types of intergenerational exchange, and spatial arrangement types were identified. Then, case study analysis of domestic and foreign community facilities with well-planned intergenerational exchange spaces and programs were conducted to identify intergenerational integration, and to derive community facility planning direction. Results: The results of this research are as follows. First, in terms of humanware, in order to revitalize continuous exchange between the 1st, 2nd, and 3rd generations, a systematic support system is needed to build mutual trust through voluntary participation by each generation. Second, it is important to provide a variety of shared spaces while maintaining the uniqueness of each facility from a hardware perspective, and must be planned in such a way that selective interaction takes place with privacy and interaction in mind. Third, in terms of software, programs that meet the characteristics of each user must be provided. Conclusions: It is expected that the results of this research can be used as basic data for planning community facilities that integrate generations based on local communities, contributing to the search for sustainable ways to revitalize intergenerational exchange in the future.

Crack identification in beam-like structures using multi-mass system and wavelet transform

  • Siamak Ghadimi;Seyed Sina Kourehli;Gholamreza Zamani-Ahari
    • Earthquakes and Structures
    • /
    • v.27 no.4
    • /
    • pp.263-283
    • /
    • 2024
  • This research introduces a new composite system that utilizes multiple moving masses to identify cracks in structures resembling beams. The process starts by recording displacement time data from a set of these moving masses and converting this information into a relative time history through weighted aggregation. This relative time history then undergoes wavelet transform analysis to precisely locate cracks. Following wavelet examinations, specific points along the beam are determined as potential crack sites. These points, along with locations on the beam susceptible to cracked point due to support conditions, are marked as crack locations within the optimization algorithm's search domain. The model uses equations of motion based on the finite element method for the moving masses on the beam and employs the Runge-Kutta numerical solution within the state space. The proposed system consists of three successive moving masses positioned at even intervals along the beam. To assess its effectiveness, the method is tested on two examples: a simply supported beam and a continuous beam, each having three scenarios to simulate the presence of one or multiple cracks. Additionally, another example investigates the influence of mass speed, spacing between masses, and noise effect. The outcomes showcase the method's effectiveness and efficiency in localizing crack, even in the presence of noise effect in 1%, 5% and 20%.

Optimum Design of Steel Frames Using Genetic Algorithms (유전자 알고리즘을 이용한 강 뼈대 구조물의 최적설계)

  • 정영식;정석진
    • Journal of the Computational Structural Engineering Institute of Korea
    • /
    • v.13 no.3
    • /
    • pp.337-349
    • /
    • 2000
  • Genetic Algorithms(GA) together with simulated annealing are often called methods of last resorts since they can be applicable to any kind of problems, particularly those to which no sophisticated procedures are applicable or feasible. The design of structures is primarily the process of selecting a section for each member from those available in the market, resulting in the problem of combinatorial nature. Therefore it is usual for the design space to include astronomical number of designs making the search in the space often impossible. In this work, Genetic Algorithms and some related technique are introduced and applied to the design of steel frameworks. In problems with a small number of design variables, GA found true global optima. GA also found true optima for the continuous variable test problems and proved their applicability to structural optimization. For those problems of real size, however, it appears to be difficult to expect GA to find optimum or even near optimum designs. The use of G bit improvement added to ordinary GA has shown much better results and draws attention for further research.

  • PDF

A Study on the Panoramic Perception for Restoring of Urban Environment and Architecture (도시환경과 건물 재생을 위한 파노라마 이미지 공간구성 방법)

  • Chun, Soo-Kyung;Nam, Kyung-Sook
    • Korean Institute of Interior Design Journal
    • /
    • v.23 no.1
    • /
    • pp.78-87
    • /
    • 2014
  • The purpose of this paper is to analyze the relationship between panoramic perception and space organization for restoration of urban environment and architecture. Panorama is a collective visual catalogue composed by series of perspective images. It is a product from continuous movements of viewer by defamilarizing real image and structuring order between city and building. Through understanding the panoramic image, the viewer is able to achieve the total image of the city. For example, achieving visual perception of the city by employing the panoramic view from different historical backgrounds and cultures, Berlin developed its urban characteristic by rebuilding panoramic view as an aesthetic device. First, this paper mention theory of panorama as an aesthetic device for shaping the city from the building. Second, this paper analyze the relationships between characteristics of panorama and historical contexts for why those panoramic views are valuable by mentioning the Altes Museum, the Berlin National Gallery, Museum of Modern Literature, and Folkwang Museum of panoramic view. In conclusion, this paper argues that visual perception such as panoramic view is the valuable device for organizing the image of the city's own identity. Constructing vision of each city influences not only shaping the city but also mapping the mental views of the building. Also, historical conditions and open spaces are one of the inherent elements combined with panoramic view for establishing urban identity. In search for good place making, it is important to understand the role of the historical context and fabric plan in shaping how a resident sees - literally, sees- their city with buildings. Berlin serve as excellent counter example in how the valuable place making panoramic mental views of urbanities take shape.

Simulation Method for the Flowing Water Purification with UV Lamp (자외선램프을 이용한 유수처리장치 설계 시뮬레이션)

  • Jeong, Byeong-Ho;Lee, Kang-Yeon
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
    • /
    • v.23 no.9
    • /
    • pp.17-23
    • /
    • 2009
  • Interest in application of ultraviolet light technology for primary disinfection of potable water in drinking water treatment plants has increased significantly in recent years. The efficacy of disinfection processes in water purification systems is governed by several key factors, including reactor hydraulics, disinfectant chemistry, and microbial inactivation kinetics. The objective of this work was to develop a computational fluid dynamics(CFD) model to predict velocity fields, mass transport, chlorine decay, and microbial inactivation in a continuous flow reactor. The CFD model was also used to evaluate disinfection efficiency in alternative reactor designs. In a typical operation, water enters the inlet of a UV lamp and flows through the annular space between the quartz sleeve and the outside chamber wall. The irradiated water leaves through the outlet nozzle. In this paper, it describe the how to design optimal ultraviolet disinfection device for ground water and rainwater. To search the optimal design method, it was performed computer simulation with 3D-CFD discrete ordinates model and manufactured prototype. Using proposed design method, performed simulation and proved satisfied performance.

Determination of Ship Collision Avoidance Path using Deep Deterministic Policy Gradient Algorithm (심층 결정론적 정책 경사법을 이용한 선박 충돌 회피 경로 결정)

  • Kim, Dong-Ham;Lee, Sung-Uk;Nam, Jong-Ho;Furukawa, Yoshitaka
    • Journal of the Society of Naval Architects of Korea
    • /
    • v.56 no.1
    • /
    • pp.58-65
    • /
    • 2019
  • The stability, reliability and efficiency of a smart ship are important issues as the interest in an autonomous ship has recently been high. An automatic collision avoidance system is an essential function of an autonomous ship. This system detects the possibility of collision and automatically takes avoidance actions in consideration of economy and safety. In order to construct an automatic collision avoidance system using reinforcement learning, in this work, the sequential decision problem of ship collision is mathematically formulated through a Markov Decision Process (MDP). A reinforcement learning environment is constructed based on the ship maneuvering equations, and then the three key components (state, action, and reward) of MDP are defined. The state uses parameters of the relationship between own-ship and target-ship, the action is the vertical distance away from the target course, and the reward is defined as a function considering safety and economics. In order to solve the sequential decision problem, the Deep Deterministic Policy Gradient (DDPG) algorithm which can express continuous action space and search an optimal action policy is utilized. The collision avoidance system is then tested assuming the $90^{\circ}$intersection encounter situation and yields a satisfactory result.

Study on the restoration of Soswaewon Garden's Goam-Jeongsa and Boohwondang buildings (소쇄원 고암정사와 부훤당의 복원적 고찰)

  • Cheon, Deuk-youm;Choi, Jung-mee;Kim, Dyeon-jin
    • Journal of the Architectural Institute of Korea Planning & Design
    • /
    • v.34 no.4
    • /
    • pp.103-111
    • /
    • 2018
  • The Soswaewon Garden, which was constructed by Yang San-Bo around 1520, is a private traditional garden in Korea. Soswaewon Garden has long been and still is the focus of continuous research. However, relatively few studies have been conducted on the restoration of buildings that were lost in the past. The Goam-Jeongsa and Boohwondang buildings, which were lost in 1597 during the Japanese invasion, were restored in 1614 and depicted in a picture of Soswaewon Garden in 1755. However, they eventually disappeared and no longer exist in the present. Therefore, the restoration of these two buildings is considered an urgent task. This research aims to search for the original location of these buildings and estimate their size and shape in terms of physical space. Several years ago, an estimation of the building site was carried out, providing a stepping stone on this matter. This can be studied through "Soswaewon's 48 quatrains with five Chinese characters in each line," "Soswaewon-sasil," and "Soswaewon's drawing." Some parts of the shape of Soswaewon also appear in the "Yuseoseokrok," which is helpful. Thus, in this research, information on the Goam-Jeongsa and Boowondang buildings appearing in research results and literature to date are collectively analyzed. The location and architectural features of both buildings are identified by focusing on excavations. Also, for the purpose of restoration planning, base data on the location, size, and shape of both buildings are presented. In line with this process, a valid restoration plan is presented by analyzing the abovementioned historical research materials and comparing empirical data, such as excavation results.

Design and Implementation of Autonomic De-fragmentation for File System Aging (파일 시스템 노화를 해소하기 위한 자동적인 단편화 해결 시스템의 설계와 구현)

  • Lee, Jun-Seok;Park, Hyun-Chan;Yoo, Chuck
    • The KIPS Transactions:PartA
    • /
    • v.16A no.2
    • /
    • pp.101-112
    • /
    • 2009
  • Existing techniques for defragmentation of the file system need intensive disk operation for some periods at specific time such as disk defragmentation program. In this paper, for solving this problem, we design and implement the automatic and continuous defragmentation free system by distributing the disk operation. We propose the Automatic Layout Scoring(ALS) mechanism for measuring defragmentation degree and suggest the Lazy Copy mechanism that copies the defragmented data at idle time for scattering the disk operation. We search the defragmented file by Automatic Layout Scoring mechanism and then find for empty spaces for that searched file. After lazy copy of searched fils to empty space for preventing that file from being lost, the algorithm solves the defragmentation problem by updating the I-node of that file. We implement these algorithms in Linux and evaluate them for small and defragmented file to get the layout scoring. We outperform the Linux EXT2 file system by $2.4%{\sim}10.4%$ in layout scoring evaluation. And the performance of read and write for various file size is better than the EXT2 by $1%{\sim}8.5%$ for write performance and by $1.2%{\sim}7.5%$ for read performance. We suggest this system for solving the problem of defragmentation automatically without disturbing the I/O task and manual management.