• Title/Summary/Keyword: Multi-Objective Function

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Optimal Design of Datention System using Incremental Dynamic Programming (동적계획법을 이용한 유수체계의 최적설계)

  • 이길성;이범희
    • Water for future
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    • v.28 no.1
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    • pp.153-168
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    • 1995
  • The purpose of this study is to develop an efficient model for the least cost design of multisite detention systems. The IDP (Incremental Dynamic Programming) model for optimal design is composed of two sub-models: hydrologic - hydraulic model and optimization model. The objective function of IDP is the sum of costs; acquisition cost of the land, construction cost of detention basin and pumping system. Model inputs include channel characteristics, hydrologic paramenters, design storm, and cost function. The model is applied to the Jung- Rang Cheon basin in Seoul, a watershed with detention basins in multiple branching channels. The application results show that the detention system can be designed reasonably for various conditions and the model can be applied to multi-site detention system design.

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Optimization Technique of Passenger Car Suspension System Considering J-Turn Handling Performances (J-선회 조종성능을 고려한 승용차 현가장치의 최적화 기법)

  • Lee, Sang-Beom;Lee, Chun-Seung;Yim, Hong-Jae;Kim, Min-Soo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.28 no.3
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    • pp.267-273
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    • 2004
  • The purpose of this paper is to develop a systematic design method for the suspension system hard points and compliance elements, which have great influence on the handling stability of a vehicle. In this paper, a method to optimize J-turn responses is presented based on the principles of design of experiments, multi-body dynamic analysis and optimum design technique. The design variables associated with the J-turn maneuver are selected through the experimental design sensitivity analysis using the perturbation method. An objective function is defined as an approximate function for the J-turn characteristics using the TSA(Taylor series approximation). The values of the design variables, which make the optimized J-turn characteristics, are obtained using the conjugate gradient method. The result of the J-turn simulation shows that the optimized vehicle has more improved handling stability than the optimized vehicle.

Function Optimization and Event Clustering by Adaptive Differential Evolution (적응성 있는 차분 진화에 의한 함수최적화와 이벤트 클러스터링)

  • Hwang, Hee-Soo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.12 no.5
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    • pp.451-461
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    • 2002
  • Differential evolution(DE) has been preyed to be an efficient method for optimizing real-valued multi-modal objective functions. DE's main assets are its conceptual simplicity and ease of use. However, the convergence properties are deeply dependent on the control parameters of DE. This paper proposes an adaptive differential evolution(ADE) method which combines with a variant of DE and an adaptive mechanism of the control parameters. ADE contributes to the robustness and the easy use of the DE without deteriorating the convergence. 12 optimization problems is considered to test ADE. As an application of ADE the paper presents a supervised clustering method for predicting events, what is called, an evolutionary event clustering(EEC). EEC is tested for 4 cases used widely for the validation of data modeling.

Comparison of Outage Probability Between Best-relay 2-hop Relaying and 3-hop Relaying (두 릴레이가 존재할 때 삼중 홉 중계와 베스트 릴레이 선택 후 이중 홉 중계 방식의 아웃티지 확률 비교)

  • Youn, You-Sun;Kim, Dong-Woo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.1B
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    • pp.136-143
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    • 2010
  • In this paper, we investigate decode-and-forward (DF) relaying systems with a direct link between the source and the destination node. The objective of this paper is to determine the better relaying strategy between 3-hop DF relaying and dual-hop DF relaying with the best relay selection. Assuming Rayleigh fading channels, we present closed-form outage probability of the 3-hop relaying and the dual-hop relaying, respectively, and compare the performances by numerical investigation. Numerical results show that if the channel is poor, the outage performance of the 3-hop relaying is better than the dual-hop relaying.

Development of MCDM for the Selection of Preferable Alternative and Determination of Investment Priority in Water Resource Projects (수자원사업 대안선정 및 투자우선순위결정을 위한 다기준의사결정모형 개발)

  • Yeo, Kyudong;Kim, Gilho;Lee, Sangwon;Choi, Seungan
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.6B
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    • pp.551-563
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    • 2011
  • Water resource projects need an enormous national budget. Therefore, a reasonable and reliable decision making is required for the planning of water resource projects, but decision making has been mostly performed by economic analysis. The objective of this study is to develop a Multi-criteria Decision Making(MCDM) model which can assess the project in various aspects for the selection of preferable alternative and determination of investment priority in water resource projects. In this study, the criteria involves economic feasibility, policies, vulnerability, and sub-items which have weights obtained from the expert survey for the consistent evaluation. We also derived the utility function considering risk trend of each item based on the expert survey. Then, the total score was estimated by weights of each item and utility score of each attribute. The results show that vulnerability is a major contributor for the criteria. This study will contribute to the selection of proper water resource projects considering efficiency of project and fairness for vulnerable area.

A Study on the Optimal Design of Reinforced Concrete Slab-Beam-Column Structures by Direct Method (직접설계법(直接設計法)에 의한 철근(鐵筋)콘크리트 2방향(方向) 슬래브형(型) 구조체(構造體)의 최적설계(最適設計))

  • Kim, Yong Hee;Lyu, Hong Leal;Park, Moon Ho
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.5 no.1
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    • pp.1-12
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    • 1985
  • This study is conserned for the optimum design of reinforced concrete slab-beam-column structures with multi-storys and multi-bays by Direct Method. Flexural and shear strength, sectional size, and steel ratio etc., were considered as the design-constraints and the cost function was taken as to objective function. They became high degree nonlinear problems. Using SLP as an analytical method of nonlinear optimal problems, an optimal algorithm was developed in this study and the algorithm was applied to the optimization of reinforced concrete structure system of 5 storys. The result converged to a optimal solution with 3 to 5 iterations, and proved that economical design could be possible when compared with conventional designs.

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Immediate Loading of Implants ; Recent Review (임플란트의 즉시 기능에 관한 최신 지견)

  • Kim, Yun-Sang
    • Journal of Dental Rehabilitation and Applied Science
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    • v.21 no.2
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    • pp.191-204
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    • 2005
  • Traditionally, the implant treatment require load-free healing period of at least 3 months in the mandible and 6 months in the maxilla. But this long healing period provides patients with the discomfort and economical trouble. Many experiments has been attempted for the outcome of such disadvantage, so recently the immediate loaded implant is getting popularity. Several literature has been published for clinical success of immediate loaded implant. The studies for the success rate of immediate loaded implant in multi-way has been reporting, nevertheless, we don't have yet a probable success. Various studies have been practiced that the advantages and disadvantages associated with immediate loaded implant, and factors that may influence the success of immediate implant, including patient selection, type of bone quality, required implant length, structure of the implant, surgical skill, need for achieving primary stability, control of occlusal force, peri-implant bone activity. The objective of this study is to review the literature related to immediate loading of implants and to discuss factors that may influence this treatment modality, based on scientific evidence.

Optimal 3D Grasp Planning for unknown objects (임의 물체에 대한 최적 3차원 Grasp Planning)

  • 이현기;최상균;이상릉
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.462-465
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    • 2002
  • This paper deals with the problem of synthesis of stable and optimal grasps with unknown objects by 3-finger hand. Previous robot grasp research has analyzed mainly with either unknown objects 2D by vision sensor or unknown objects, cylindrical or hexahedral objects, 3D. Extending the previous work, in this paper we propose an algorithm to analyze grasp of unknown objects 3D by vision sensor. This is archived by two steps. The first step is to make a 3D geometrical model of unknown objects by stereo matching which is a kind of 3D computer vision technique. The second step is to find the optimal grasping points. In this step, we choose the 3-finger hand because it has the characteristic of multi-finger hand and is easy to modeling. To find the optimal grasping points, genetic algorithm is used and objective function minimizing admissible farce of finger tip applied to the object is formulated. The algorithm is verified by computer simulation by which an optimal grasping points of known objects with different angles are checked.

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The Optimal Grasp Planning by Using a 3-D Computer Vision Technique (3차원 영상처리 기술을 이용한 Grasp planning의 최적화)

  • 이현기;김성환;최상균;이상룡
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.11
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    • pp.54-64
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    • 2002
  • This paper deals with the problem of synthesis of stable and optimal grasps with unknown objects by 3-finger hand. Previous robot grasp research has mainly analyzed with either unknown objects 2-dimensionally by vision sensor or known objects, such as cylindrical objects, 3-dimensionally. As extending the previous work, in this study we propose an algorithm to analyze grasp of unknown objects 3-dimensionally by using vision sensor. This is archived by two steps. The first step is to make a 3-dimensional geometrical model for unknown objects by using stereo matching. The second step is to find the optimal grasping points. In this step, we choose the 3-finger hand which has the characteristic of multi-finger hand and is easy to model. To find the optimal grasping points, genetic algorithm is employed and objective function minimizes the admissible force of finger tip applied to the objects. The algorithm is verified by computer simulation by which optimal grasping points of known objects with different angle are checked.

Neural Network and Its Application to Rainfall-Runoff Forecasting

  • Kang, Kwan-Won;Park, Chan-Young;Kim, Ju-Hwan
    • Korean Journal of Hydrosciences
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    • v.4
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    • pp.1-9
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    • 1993
  • It is a major objective for the management and operation of water resources system to forecast streamflows. The applicability of artificial neural network model to hydrologic system is analyzed and the performance is compared by statistical method with observed. Multi-layered perception was used to model rainfall-runoff process at Pyung Chang River Basin in Korea. The neural network model has the function of learning the process which can be trained with the error backpropagation (EBP) algorithm in two phases; (1) learning phase permits to find the best parameters(weight matrix) between input and output. (2) adaptive phase use the EBP algorithm in order to learn from the provided data. The generalization results have been obtained on forecasting the daily and hourly streamflows by assuming them with the structure of ARMA model. The results show validities in applying to hydrologic forecasting system.

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