• Title/Summary/Keyword: 다목적 최적화기법

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Multi-objective Optimization of Channel Quality and Power Consumption in Visible Light Communication Systems (다목적함수 최적화기법을 이용한 가시광 무선통신시스템의 통신채널품질 및 전력소비 최적화 연구)

  • Dotronghop, Dotronghop;Hwang, Junho;Yoo, Myungsik
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.10
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    • pp.11-17
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    • 2012
  • The VLC system undertakes both missions of illumination and wireless communication. It is difficult to design a VLC system with optimal performance due to the trade-offs between power consumption and channel quality. In this paper, the VLC system design problem is solved by using multi-objective optimization method. For optimization, the multi-objective function is formulated with respect to power consumption, received power, and SNR under the constraints on the system variables. Through the multi-objective optimization, it is possible to obtain the solutions that satisfies both minimum power consumption and maximum channel quality.

The Study about the Optimizaion of the low noise axial fan (대형 축류팬 저소음화를 위한 최적설계 연구)

  • 신형기;이수갑;천승현
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.11a
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    • pp.365.1-365
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    • 2002
  • 저소음 팬의 설계는 팬 성능의 저감 없이 이루어져야 한다. 마라서 저소음 팬 설계는 기본적으로 다분야간 설계 최적화 또는 다목적 설계 최적화의 문제이다. 본 연구에서는 이러한 요구를 수행하기 위해 반응면 기법을 저소음 축류 팬 설계에 적용하여 보았다. 또한 이러한 설계 단계에서 필요한 수백가지 시험 결과를 효과적으로 구하기 위해 효율적인 유동 해석 툴과 소음 해석 툴을 개발하여 적용시켰다. (중략)

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Application of Parameter-setting Free Method for Multi-objective Optimal Design of Water Distribution Systems (상수관망 다목적 최적설계를 위한 매개변수 자동보정 기법의 적용)

  • Choi, Young Hwan;Lee, Ho Min;Yoo, Do Guen;Choi, Ji Ho;Kim, Joong Hoon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.209-209
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    • 2015
  • 상수도 관망은 대표적인 사회기반시설로 수원으로부터 수용가에 이르기까지 안정적으로 유량을 공급하는 것을 목표로 한다. 상수도 관망의 최적설계는 요구되는 절점의 수압, 관로의 유속 등 수리학적 제약조건을 만족시키는 범위 안에서 비용을 최소화하는 설계안을 얻어내는 것을 목표로 시작하였다. 하지만 비용만을 고려한 과거의 상수도 관망 최적설계는 미래의 불확실한 조건에 매우 취약하고, 사용자의 다양한 요구를 충족시키지 못한다. 이 때문에 현대의 상수도 관망의 설계시 다양한 설계인자의 고려와 함께 효율적인 최적설계기법 적용의 필요성이 대두되고 있다. 따라서 본 연구에서는 상수도 관망 최적설계에 다양한 설계인자를 동시에 고려하기 위해 다목적 최적 설계기법인 Multi-objective Harmony Search 알고리즘을 적용하였다. 또한 다목적 최적설계의 효율성 증대를 위하여 매개변수 자동보정 기법 중 하나인 Parameter-Setting-Free (PSF) 기법(Geem and Sim, 2010)을 사용하였다. PSF 기법은 최적화 알고리즘의 매개변수 설정의 번거로움을 없애고, 반복수행을 통한 해 탐색이 진행됨에 따라 가장 효율적으로 작용하는 매개변수를 자동으로 설정하여 탐색효율을 강화하도록 고안된 기법이다. 본 연구에서는 제안된 기법을 실제 상수도관망의 최적설계에 적용하였고 그 결과를 분석하였다. 그 결과 제안된 기법을 통해 관망의 비용을 포함한 다양한 설계인자를 동시에 만족시키는 최적설계안을 효과적으로 도출 할 수 있었으며, 매개변수 자동보정 기법의 적용을 통해 해 탐색의 효율성과 편의성을 향상시킬 수 있었다.

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A Tone Injection PAPR Reduction Method using Multi-objective Optimization based on Weighted-sum Genetic Algorithm (가중합 유전자 알고리즘 기반의 다목적 최적화를 이용한 톤 삽입 PAPR 저감 기법)

  • Park, Soon-Kyu;Lee, Won-Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.2C
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    • pp.217-225
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    • 2009
  • Tone injection scheme has been known as one of peak to average power ratio (PAPR) reduction methods deployable to multi-carrier system like orthogonal frequency division multiplexing (OFDM). The basic idea in tone injection scheme is to enforce the constellation size larger so that each of original constellation points is mapped into the preassigned distinct locations. According to the tone injection scheme, it increases symbol power highly induced inherently by expanding constellation to get optimal PAPR reduction. In the other hand, to get optimal power increase, the PAPR would be reduced insufficiently with limited tone injection signal. To withstand these problems, this paper consider the reduction of the PAPR and power increase problem simultaneously, Toward this, the tone injection scheme accomplished by employing the weighted sum genetic algorithm which has been utilized to solve multi-objective optimization problem (MOOP). The simulation results verifies that the proposed scheme can control the effective PAPR performance and alleviation of power increase flexibly by the weight value at the expense of relatively low complexity.

Fuzzy Control of Smart TMD using Multi-Objective Genetic Algorithm (다목적 유전자알고리즘을 이용한 스마트 TMD의 퍼지제어)

  • Kang, Joo-Won;Kim, Hyun-Su
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.24 no.1
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    • pp.69-78
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    • 2011
  • In this study, an optimization method using multi-objective genetic algorithm(MOGA) has been proposed to develop a fuzzy control algorithm that can effectively control a smart tuned mass damper(TMD). A 76-story benchmark building subjected to wind load was selected as an example structure. The smart TMD consists of 100kN MR damper and the natural period of the smart TMD was tuned to the first mode natural period of the example structure. Damping force of MR damper is controlled to reduce the wind-induced responses of the example structure by a fuzzy logic controller. Two input variables of the fuzzy logic controller are the acceleration of 75th floor and the displacement of the smart TMD and the output variable is the command voltage sent to MR damper. Multi-objective genetic algorithm(NSGA-II) was used for optimization of the fuzzy logic controller and the acceleration of 75th story and the displacement of the smart TMD were used as objective function. After optimization, a series of fuzzy logic controllers which could appropriately reduce both wind responses of the building and smart TMD were obtained. Based on numerical results, it has been shown that the control performance of the smart TMD is much better than that of the passive TMD and it is even better than that of the sample active TMD in some cases.

Voltage Operating Guidelines By Using Optimal Power Flow (최적화 기법을 응용한 전압기준 설정)

  • Kim, Jae-Won;Kim, Tae-Gyun;Lee, Byong-Jun;Jung, Eung-Soo;Cho, Jong-Man
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.463-464
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    • 2007
  • 본 논문은 경제성 및 안정성을 유지하는 최적의 전압유지범위 설정을 위해 다양한 목적함수를 최적조류계산에 이용하였다. 경제성을 위해 융통전력 최대화와 유효전력 손실최소화를 목적함수로 하였고 안정성을 위해 무효전력예비력 최대화를 목적함수로 하였다. 또한 경제성과 안정성을 모두 반영하기 위해 다목적 함수를 구성하였다. 최적화기법을 실계통에 적용하였을 때 목적함수를 얼마나 잘 만족시킬 수 있는지 각종 지표를 통해 살펴보았다. 그리고 모니터링 모선의 전압 변동 추이를 살펴보고 이를 통해 경제성 및 안정성을 유지하는 최적의 전압유지 범위설정을 하는데 활용할 수 있도록 하였다.

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Development of optimization model for booster chlorination in water supply system using multi-objective optimization method (다목적 최적화기법을 활용한 상수도 공급계통 잔류염소농도 최적운영 모델 개발)

  • Kim, Kibum;Seo, Jeewon;Hyung, Jinseok;Kim, Taehyeon;Choi, Taeho;Koo, Jayong
    • Journal of Korean Society of Water and Wastewater
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    • v.34 no.5
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    • pp.311-321
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    • 2020
  • In this study, a model to optimize residual chlorine concentrations in a water supply system was developed using a multi-objective genetic algorithm. Moreover, to quantify the effects of optimized residual chlorine concentration management and to consider customer service requirements, this study developed indices to quantify the spatial and temporal distributions of residual chlorine concentration. Based on the results, the most economical operational method to manage booster chlorination was derived, which would supply water that satisfies the service level required by consumers, as well as the cost-effectiveness and operation requirements relevant to the service providers. A simulation model was then created based on an actual water supply system (i.e., the Multi-regional Water Supply W in Korea). Simulated optimizations were successful, evidencing that it is possible to meet the residual chlorine concentration demanded by consumers at a low cost.

An Application of Multi-Objective Global Optimization Technique for Internally Finned Tube (휜형 원형관의 형상 최적화를 위한 다목적 전역 최적화 기법의 응용)

  • Lee, Sang-Hwan;Lee, Ju-Hee;Park, Kyoung-Woo
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.17 no.10
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    • pp.938-946
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    • 2005
  • Shape optimization of internally finned circular tube has been peformed for periodically fully developed turbulent flow and heat transfer. The physical domain considered in this study is very complicated due to periodic boundary conditions both streamwise and circumferential directions. Therefore, Pareto frontier sets of a heat exchanger can be acquired by coupling the CFD and the multi-objective genetic algorithm, which is a global optimization technique. The optimal values of fin widths $(d_1,\;d_2)$ and fin height (H) are numerically obtained by minimizing the pressure loss and maximizing the heat transfer rate within ranges of $d_1=0.2\sim1.5\;mm,\;d_2=0.2\sun1.5\;mm,\;and\;H=0.2\sim1.5\;mm$. The optimal values of the design variables are acquired after the fifth generation and also compared to those of a local optimization algorithm for the same geometry and conditions.

Capacity Design of Eccentrically Braced Frame Using Multiobjective Optimization Technique (다목적 최적화 기법을 이용한 편심가새골조의 역량설계)

  • Hong, Yun-Su;Yu, Eunjong
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.33 no.6
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    • pp.419-426
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    • 2020
  • The structural design of the steel eccentrically braced frame (EBF) was developed and analyzed in this study through multiobjective optimization (MOO). For the optimal design, NSGA-II which is one of the genetic algorithms was utilized. The amount of structure and interfloor displacement were selected as the objective functions of the MOO. The constraints include strength ratio and rotation angle of the link, which are required by structural standards and have forms of the penalty function such that the values of the objective functions increase drastically when a condition is violated. The regulations in the code provision for the EBF system are based on the concept of capacity design, that is, only the link members are allowed to yield, whereas the remaining members are intended to withstand the member forces within their elastic ranges. However, although the pareto front obtained from MOO satisfies the regulations in the code provision, the actual nonlinear behavior shows that the plastic deformation is concentrated in the link member of a certain story, resulting in the formation of a soft story, which violates the capacity design concept in the design code. To address this problem, another constraint based on the Eurocode was added to ensure that the maximum values of the shear overstrength factors of all links did not exceed 1.25 times the minimum values. When this constraint was added, it was observed that the resulting pareto front complied with both the design regulations and capacity design concept. Ratios of the link length to beam span ranged from 10% to 14%, which was within the category of shear links. The overall design is dominated by the constraint on the link's overstrength factor ratio. Design characteristics required by the design code, such as interstory drift and member strength ratios, were conservatively compared to the allowable values.

Optimal Methodology of a Composite Leaf Spring with a Multipurpose Small Commercial Vans (다목적 소형 승합차 복합재 판 스프링의 적층 최적화 기법)

  • Ahn, Sang Ho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.31 no.5
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    • pp.243-250
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    • 2018
  • In this paper, design technique using genetic algorithms(GA) for design optimization of composite leaf springs is presented here. After the initial design has been validated by the car plate spring as a finite element model, the genetic algorithm suggests the process of optimizing the number of layers of composite materials and their angles. Through optimization process, the weight reduction process of leaf springs and the number of repetitions are compared to the existing algorithm results. The safety margin is calculated by organizing a finite element model to verify the integrity of the structure by applying an additive sequence optimized through the genetic algorithm to the structure. When GA is applied, layer thickness and layer angle of complex leaf springs have been obtained, which contributes to the achievement of minimum weight with appropriate strength and stiffness. A reduction of 65.6% original weight is reached when a leaf steel spring is replaced with a leaf composite spring under identical requirement of design parameters and optimization.