• Title/Summary/Keyword: 배치 최적화

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Estimation of Hi-pass Traffic Dispersion Rates to Determine The Optimal Location of Hi-pass Lanes at A Toll Plaza (요금소 하이패스 차로 배치 최적화를 위한 하이패스 차량 교통분산율 추정)

  • Lee, Jaesoo;Lee, Ki-Young;Lee, Cheol-Ki;Yun, Ilsoo;Yu, Jeong Whon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.12 no.4
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    • pp.22-32
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    • 2013
  • Since the percentage of vehicles equipped with Hi-pass, an electronic toll collecting device, has increased rapidly, it is very crucial to determine the optimal location of Hi-pass lanes at a toll plaza in terms of traffic control and operation. In this study, the appropriateness of existing Hi-pass lanes of a toll plaza is evaluated considering its physical geometry and traffic characteristics. A new evaluating criterion called "traffic dispersion rate" is developed in order to measure the level of traffic spreading across the toll booth lanes at a toll plaza. Logistic regression models are constructed to estimate the relationship between the traffic dispersion rate and its affecting variables. The model estimation results show that several variables including Hi-pass lane traffic volume, length of toll plaza, entering/exiting taper lengths, and locations of Hi-pass lanes. The results also suggest that traffic dispersion rate can be increased by adjusting the location of Hi-pass lanes. The study enables us to quantify traffic dispersion rate which can be used to optimize the location and operation of Hi-pass lanes at toll plazas.

An Algorithm for Improving Placement Using Optimal Interleaving (최적 인터리빙을 이용한 배치 개선 알고리즘)

  • Sung, Young-Tae;Oh, Eun-Kyung;Hur, Sung-Woo
    • Annual Conference of KIPS
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    • 2003.11a
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    • pp.339-342
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    • 2003
  • 배치는 칩의 성능 및 레이아웃에 결정적인 영향을 주는 요인으로써 크게 광역배치와 상세배치 두단계를 거쳐 이루어지며 수년 동안 다양한 기법들이 개발되어 왔다. 본 논문에서는 표준 셀 배치를 개선하기 위한 동적 프로그래밍 기법을 이용한 최적 인터리빙 알고리즘을 확장하여 선을 동일 행 내에서만 움직이던 한계점을 극복하여 서로 다른 행 사이에서도 움직일 수 있도록 하였다. 즉, 셀들은 주어진 배치 내에서 임의의 위치로 움직일 수 있어 배치가 더욱 효율적으로 최적화 될 수 있도록 하였다.

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Application of Genetic Algorithm for Railway Crew Rostering (철도 승무교번 배치를 위한 유전알고리즘 적용방안)

  • Park, Sang mi;Kim, Hyeon Seung;Kang, Leen Seok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.9
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    • pp.133-141
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    • 2019
  • Crew rostering in railway operations is usually done by arranging a crew diagram in accordance with working standards every month. This study was done to identify the problems related to the creation of crew rosters in railway operations and to suggest an optimum crew rostering method that can be applied in railway operations planning. To do this, the work standards of a railway company were identified, and a genetic algorithm was used to develop an optimal roster with equal working time while considering actual working patterns. The optimization process is composed of analysis of the input data, creation of work patterns, creation of a solution, and optimization steps. To verify the method, the roster derived from the proposed process was compared with a manually created roster. The results of the study could be used to reduce the deviation of business hours when generating a roster because the standard deviation of working time is the objective function.

Optimum Allocation of Pipe Support Using Combined Optimization Algorithm by Genetic Algorithm and Random Tabu Search Method (유전알고리즘과 Random Tabu 탐색법을 조합한 최적화 알고리즘에 의한 배관지지대의 최적배치)

  • 양보석;최병근;전상범;김동조
    • Journal of the Korean Institute of Intelligent Systems
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    • v.8 no.3
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    • pp.71-79
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    • 1998
  • This paper introduces a new optimization algorithm which is combined with genetic algorithm and random tabu search method. Genetic algorithm is a random search algorithm which can find the global optimum without converging local optimum. And tabu search method is a very fast search method in convergent speed. The optimizing ability and convergent characteristics of a new combined optimization algorithm is identified by using a test function which have many local optimums and an optimum allocation of pipe support. The caculation results are compared with the existing genetic algorithm.

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Optimal Camera Placement Leaning of Multiple Cameras for 3D Environment Reconstruction (3차원 환경 복원을 위한 다수 카메라 최적 배치 학습 기법)

  • Kim, Ju-hwan;Jo, Dongsik
    • Smart Media Journal
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    • v.11 no.9
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    • pp.75-80
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    • 2022
  • Recently, research and development on immersive virtual reality(VR) technology to provide a realistic experience is being widely conducted. To provide realistic experience in immersive virtual reality for VR participants, virtual environments should consist of high-realistic environments using 3D reconstruction. In this paper, to acquire 3D information in real space using multiple cameras in the reconstruction process, we propose a novel method of optimal camera placement for accurate reconstruction to minimize distortion of 3D information. Through our approach in this paper, real 3D information can obtain with minimized errors during environment reconstruction, and it is possible to provide a more immersive experience with the created virtual environment.

A Study on Optimizing of Roof-Top Photovoltaic Arrays Arrangement Based on Three-Dimensional Geo-Spatial Information (3차원 지형공간정보 기반 지붕형 태양광 어레이 배치 최적화 연구)

  • Kim, Se-Jong;Koo, Kyo-Jin
    • Korean Journal of Construction Engineering and Management
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    • v.12 no.6
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    • pp.151-159
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    • 2011
  • Due to the Korean government's renewable energy support policy such as the renewable energy utilization building certificate and enlarging the compulsory ratio of investment on the public building, the rooftop photovoltaic projects are expanding rapidly. It is very important for the rooftop photovoltaic projects to analyze the shading effect of the adjacent structures or own facilities. But, the photovoltaic arrangements are planned by the experience of the designers or simple graphic tools. The purpose of this study is to build the process model for optimizing of rooftop photovoltaic arrangement based on three-dimensional geo-spatial information.

A Scheme of Relay Device Deployment for Rapid Formed the Ad hoc Backbone Network and Optimization of Communication Coverage in Disaster Scene (재난현장에서 신속한 애드혹 백본망 형성과 통신권역 최적화를 위한 중계장치 배치기법)

  • Lee, Soon-Hwa;Yoon, Jae-Sun;Kim, Chang-Bock;Lim, Seung-Gag
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.11 no.6
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    • pp.31-39
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    • 2011
  • For rapid formed the ad hoc wireless backbone network in disaster scene, It is necessary for real-time deployment scheme of wireless ad hoc relay devices by first responders without pre-planning. However, in order to realize this scheme, redundant deployment should be minimized, as well as optimal location of relay devices should be selected to expand communication coverage. Therefore, in this paper, we propose a new deployment scheme of relay devices to optimize communication coverage and then through simulations showed that improved performance of algorithm.

인공위성 편대비행의 최적 경로 산출을 위한 Parameter Optimization 기법 적용 연구

  • 임형철;박필호;박종욱;조정호;이우경
    • Bulletin of the Korean Space Science Society
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    • 2004.04a
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    • pp.58-58
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    • 2004
  • 인공위성 편대비행에서는 위성간 거리가 수 미터에서 수 킬로미터에 달하기 때문에 궤도 배치 및 재배치시 위성간 충돌의 문제는 매우 중요하다. 따라서 궤도 배치 및 재배치 단계에서 위성간 충돌을 피하고, 연료소모를 최소화시키면서 목적한 최종 배치를 만족시키는 최적경로를 산출하는 방법이 최근들어 연구되고 있다. 최적 경로를 산출하는 궤적 최적화 (Trajectory optimization) 문제를 풀기 위한 방법으로 크게 직접적인 (Direct) 방법과 간접적인 (Indirect) 방법이 있다. (중략)

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Optimal Sensor Placement for Rapid Detecting in Chemical Leak Accident (화학물질의 누출에서 빠른 감지를 위한 센서 배치 최적화)

  • Cho, Jaehoon;Kim, Hyunseung;Kim, Taeok;Shin, Dongil
    • Journal of the Korean Institute of Gas
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    • v.20 no.2
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    • pp.66-71
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    • 2016
  • Nowadays, a number of sensors which are placed in industrial complex are monitoring areas involving chemical leak and other faults. However, even in the presence of the sensors, chemical leaks, sometimes involving huge amount of chemicals, continuously led to big losses in the industrial complex. In most industries, sensor installation has been performed using past experience or using senor manufacturers' guideline; which leads to poor performance of the installed sensor grid. Therefore, we investigate an optimal placement methodology of point sensors for rapid detention and response when chemical leaks happen. This research suggests a generalized formulation suitable for the optimized decision making of minimizing number of sensors to be placed and increasing the fraction of covered scenarios under assumption of negligible effect of other structures. The proposed method has been verified for suitable performance for simple leak scenario simulations, by achieving the safety objectives and guaranteeing safe process operations.

Rule-based Hybrid Discretization of Discrete Particle Swarm Optimization for Optimal PV System Allocation (PV 시스템의 최적 배치 문제를 위한 이산 PSO에서의 규칙 기반 하이브리드 이산화)

  • Song, Hwa-Chang;Ko, Jae-Hwan;Choi, Byoung-Wook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.6
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    • pp.792-797
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    • 2011
  • This paper discusses the application of a hybrid discretiziation method for the discretization procedure that needs to be included in discrete particle swarm optimization (DPSO) for the problem of allocating PV (photovoltaic) systems onto distribution power systems. For this purpose, this paper proposes a rule-based expert system considering the objective function value and its optimizing speed as the input parameters and applied it to the PV allocation problem including discrete decision variables. For multi-level discretization, this paper adopts a hybrid method combined with a simple rounding and sigmoid funtion based 3-step and 5-step quantization methods, and the application of the rule based expert system proposing the adequate discretization method at each PSO iteration so that the DPSO with the hybrid discretization can provide better performance than the previous DPSO.