• Title/Summary/Keyword: Multiple Objectives

Search Result 1,920, Processing Time 0.03 seconds

The Construction of Planning Objectives for School Facilities: An Empiric Case Study in Chunan Chungnam, Korea (학교시설(學校施設) 계획(計劃)의 목표(目標) 설정(設定): 천안(天安)의 경험적(經驗的) 사례(事例) 연구(硏究))

  • Min, Chang-Kee
    • Journal of the Korean Institute of Educational Facilities
    • /
    • v.6 no.3
    • /
    • pp.36-46
    • /
    • 1999
  • This paper seeks to show the factors, such as area and building conditions, exterior spatial conditions, and educational equipment, which affect student learning and rest activities in the school facilities. It also develops the order for the factors related to the activities. It collected available data at Shangyoung and Bongsoa Middle Schools in Chunan Chungnam, Korea. Using a t-test and multiple regression analyses, it found the factors affecting activities in different schools. It found that the facility and equipment conditions of the two schools are different. It also found that the planning objectives such as the adaptability of the facilities and equipment, information technology of the equipment, student supervision, and convenience of use of the facilities, in order, are important for planning for new buildings in urban area. And the planning objectives such as the adaptability of the facilities and equipment, the safety of the building, the convenience of use of the facilities, aesthetics, information technology of the equipment, the degree of health benefits are important in order to plan for the renovation of school buildings in urban areas. Thus, it asserts that, considering the planning objectivies developed above, a planner can construct planning objectives for new constuction or renovation of school buildings.

  • PDF

Design of Fuzzy Model-based Multi-objective Controller and Its Application to MAGLEV ATO system (퍼지 모델 기반 다목적 제어기의 설계와 자기부상열차 자동운전시스템에의 적용)

  • 강동오;양세현;변증남
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 1998.10a
    • /
    • pp.211-217
    • /
    • 1998
  • Many practical control problems for the complex, uncertain or large-scale plants, need to simultaneously achieve a number of objectives, which may conflict or compete with each other. If the conventional optimization methods are applied to solve these control problems, the solution process may be time-consuming and the resulting solution would ofter lose its original meaning of optimality. Nevertheless, the human operators usually performs satisfactory results based on their qualitative and heuristic knowledge. In this paper, we investigate the control strategies of the human operators, and propose a fuzzy model-based multi-objective satisfactory controller. We also apply it to the automatic train operation(ATO) system for the magnetically levitated vehicles(MAGLEV). One of the human operator's strategies is to predict the control result in order to find the meaningful solution. In this paper, Takagi-Sugeno fuzzy model is used to simulated the prediction procedure. Another str tegy is to evaluate the multiple objectives with respect to their own standards. To realize this strategy, we propose the concept of a satisfactory solution and a satisfactory control scheme. The MAGLEV train is a typical example of the uncertain, complex and large-scale plants. Moreover, the ATO system has to satisfy multiple objectives, such as seed pattern tracking, stop gap accuracy, safety and riding comfort. In this paper, the speed pattern tracking controller and the automatic stop controller of the ATO system is designed based on the proposed control scheme. The effectiveness of the ATO system based on the proposed scheme is shown by the experiments with a rotary test bed and a real MAGLEV train.

  • PDF

Genetic Relationship between Carcass Traits and Carcass Price of Korean Cattle

  • Kim, Jong-Bok;Kim, Dae-Jung;Lee, Jeong-Koo;Lee, Chae-Young
    • Asian-Australasian Journal of Animal Sciences
    • /
    • v.23 no.7
    • /
    • pp.848-854
    • /
    • 2010
  • The objectives of this study were to estimate genetic parameters for the carcass price and carcass traits contributing to carcass grading and to investigate the influence of each carcass trait on the carcass price using multiple regression and path analyses. Data for carcass traits and carcass prices were collected from March 2003 to January 2009 on steers of Korean cattle raised at private farms. The analytical mixed animal model, including slaughter house-year-month combination, linear and quadratic slaughter age as fixed effects and random animal and residual effects, was used to estimate genetic parameters. The effects of carcass traits on the carcass price were evaluated by applying multiple regression analyses. Heritability estimates of carcass traits were $0.20{\pm}0.08$ for carcass weight (CWT), $0.33{\pm}0.10$ for back fat thickness (BFT), $0.07{\pm}0.05$ for eye-muscle area (EMA) and $0.25{\pm}0.10$ for marbling score (MS), and those of carcass prices were $0.21{\pm}0.10$ for auction price per 1 kg of carcass weight (AP) and $0.13{\pm}0.07$ for total price (CP). Genetic correlation coefficients of AP with CWT and MS were $-0.35{\pm}0.29$ and $0.99{\pm}0.04$, respectively, and those of CP with CWT and MS were $0.59{\pm}0.22$ and $0.39{\pm}0.29$ respectively. If an appropriate adjustment for temporal economic value is available, the moderate heritability estimates of AP and CP might suggest their potential use as the breeding objectives for improving the gross incomes of beef cattle farms. The large genetic correlation estimates of carcass price variables with CWT and MS implied that simultaneous selection for both CWT and MS would be also useful in enhancing income.

A Study On Bi-Criteria Shortest Path Model Development Using Genetic Algorithm (유전 알고리즘을 이용한 이중목적 최단경로 모형개발에 관한 연구)

  • 이승재;장인성;박민희
    • Journal of Korean Society of Transportation
    • /
    • v.18 no.3
    • /
    • pp.77-86
    • /
    • 2000
  • The shortest path problem is one of the mathematical Programming models that can be conveniently solved through the use of networks. The common shortest Path Problem is to minimize a single objective function such as distance, time or cost between two specified nodes in a transportation network. The sing1e objective model is not sufficient to reflect any Practical Problem with multiple conflicting objectives in the real world applications. In this paper, we consider the shortest Path Problem under multiple objective environment. Wile the shortest path problem with single objective is solvable in Polynomial time, the shortest Path Problem with multiple objectives is NP-complete. A genetic a1gorithm approach is developed to deal with this Problem. The results of the experimental investigation of the effectiveness of the algorithm are also Presented.

  • PDF

FUZZY GOAL PROGRAMMING FOR CRASHING ACTIVITIES IN CONSTRUCTION INDUSTRY

  • Vellanki S.S. Kumar;Mir Iqbal Faheem;Eshwar. K;GCS Reddy
    • International conference on construction engineering and project management
    • /
    • 2007.03a
    • /
    • pp.642-652
    • /
    • 2007
  • Many contracting firms and project managers in the construction industry have started to utilize multi objective optimization methods to handle multiple conflicting goals for completing the project within the stipulated time and budget with required quality and safety. These optimization methods have increased the pressure on decision makers to search for an optimal resources utilization plan that optimizes simultaneously the total project cost, completion time, and crashing cost by considering indirect cost, contractual penalty cost etc., practically charging them in terms of direct cost of the project which is fuzzy in nature. This paper presents a multiple fuzzy goal programming model (MFGP) that supports decision makers in performing the challenging task. The model incorporates the fuzziness which stems from the imprecise aspiration levels attained by the decision maker to these objectives that are quantified through fuzzy linear membership function. The membership values of these objectives are then maximized which forms the fuzzy decision. The problem is solved using LINGO 8 optimization solver and the best compromise solution is identified. Comparison between solutions of MFGP, fuzzy multi objective linear programming (FMOLP) and multiple goal programming (MGP) are also presented. Additionally, an interactive decision making process is developed to enable the decision maker to interact with the system in modifying the fuzzy data and model parameters until a satisfactory solution is obtained. A case study is considered to demonstrate the feasibility of the proposed model for optimization of project network parameters in the construction industry.

  • PDF

A Case Report on Multiple Rib Fracture Improved with Daewhangchija-paste Adhesive treatment and Herb-medicine treatment. (대황치자고 첩부법과 한약 치료를 병용한 다발성 늑골 골절 환자 증례보고 1례)

  • Ha, Yu-bin;Shin, Gil-cho
    • The Journal of Korean Medicine
    • /
    • v.41 no.3
    • /
    • pp.151-161
    • /
    • 2020
  • Objectives: The purpose of this study is to report the improvement of multiple rib fracture after korean medical treatment; adhesive treatment and herb-medicine treatment. Methods: A patient with multiple rib fracture was treated with Daewhangchija-paste(大黃梔子膏) adhesive and herb-medicine treatment. Verbal numeric rating scale, medical examination by interview and rib series x-ray were used to assess progress of treatment. And we took pictures of left flank after attaching Daewhangchija-paste to observe the changes of the skin colors. Results: Rib series x-ray taken after 2 months of treatment revealed hard callus which added stability against external force on rib cage. After taking off Daewhangchija-paste, left plank skin turned into blue, green and yellow. And the pain level(VNRS) of left plank decreased from 10 to 0.5 for 4 months. Conclusions: Pain reduction on trauma site and improvement of general health condition were observed during combination treatment of Daewhangchija-paste adhesive and herb-medicine.

A Clinical Case Report on Multiple Sclerosis Treated by Korean Medicine (다발성 경화증에 대한 한방치료 치험 1례)

  • Jeon, Yong-Tae;Park, Sang-Hun;Ko, Youn-Seok
    • The Journal of Churna Manual Medicine for Spine and Nerves
    • /
    • v.9 no.2
    • /
    • pp.21-33
    • /
    • 2014
  • Objectives : This study was to report the improvement of the patient with multiple sclerosis treated by Korean Medical treatment. Methods : The patient diagnosed as multiple sclerosis treated by acupuncture, bee venom pharmacupuncture, chuna manual therapy, and herbal medicine. To evaluate the effects of korean medicine, we used manual muscle test(MMT), the standard for assessment of the effect of stroke treatment, functional system(FS), visual analog scale(VAS). Results : 1. The patient's pain and optic dysfunction were reduced by the above therapy. 2. There was no change in manual muscle test(MMT), but there was mild improvement in finger joints function in the standard for assessment of the effect of stroke treatment. 3. In functional system(FS) scale, there was enhancement in optic function within a range. And there was improvement in expanded disability statue scale(EDSS) from 4.0 to 3.0. 4. In visual analog scale(VAS), there was considerable improvement from 9 to 6. Conclusions : The korean medical treatment was reduced pain and optic dysfunction.

  • PDF

Intelligent Coordination Method of Multiple Distributed Resources for Harmonic Current Compensation in a Microgrid

  • Kang, Hyun-Koo;Yoo, Choel-Hee;Chung, Il-Yop;Won, Dong-Jun;Moon, Seung-Il
    • Journal of Electrical Engineering and Technology
    • /
    • v.7 no.6
    • /
    • pp.834-844
    • /
    • 2012
  • Nonlinear electronic loads draw harmonic currents from the power grids that can cause energy loss, miss-operation of power equipment, and other serious problems in the power grids. This paper proposes a harmonic compensation method using multiple distributed resources (DRs) such as small distributed generators (DGs) and battery energy storage systems (BESSs) that are integrated to the power grids through power inverters. For harmonic compensation, DRs should inject additional apparent power to the grids so that certain DRs, especially operated in proximity to their rated power, may possibly reach their maximum current limits. Therefore, intelligent coordination methods of multiple DRs are required for efficient harmonic current compensation considering the power margins of DRs, energy cost, and the battery state-of-charge. The proposed method is based on fuzzy multi-objective optimization so that DRs can cooperate with other DRs to eliminate harmonic currents with optimizing mutually conflicting multi-objectives.

Multiple Roles and Health among Korean Women (여성의 다중역할에 따른 건강 차이)

  • Cho, Su-Jin;Jang, Soong-Nang;Cho, Sung-Il
    • Journal of Preventive Medicine and Public Health
    • /
    • v.41 no.5
    • /
    • pp.355-363
    • /
    • 2008
  • Objectives : Most studies about multiple roles and women's health suggested that combining with paid job, being married and having children was more likely to improve health status than in case of single or traditional roles. We investigated whether there was better health outcome in multiple roles among Korean women coinciding with previous studies of other nations. Methods : Data were from the 2005 Korea National Health & Nutritional Examination Survey, a subsample of women aged 25-59 years (N=2,943). Health status was assessed for self-rated poor health, perceived stress and depression, respectively based on one questionnaire item. The age-standardized prevalence of all health outcomes were calculated by role categories and socioeconomic status. Multiple logistic regression was used to assess the association of self rated health, perceived stress, and depression with multiple roles adjusted for age, education, household income, number of children and age of children. Results : Having multiple roles with working role was not associated with better health and psychological wellbeing. Compared to those with traditional roles, employed women more frequently experienced perceived stress, with marital and/or parental roles. Non-working single mothers suffered depression more often than women with traditional roles or other role occupancy. Socioeconomic status indicators were potent independent correlates of self-rated health and perceived stress. Conclusions : Employment of women with other roles did not confer additional health benefit to traditional family responsibility. Juggling of work and family responsibility appeared more stressful than traditional unemployed parental and marital role in Korean women.

Goal-Pareto based NSGA Optimization Algorithm (Goal-Pareto 기반의 NSGA 최적화 알고리즘)

  • Park, Jun-Su;Park, Soon-Kyu;Shin, Yo-An;Yoo, Myung-Sik;Lee, Won-Cheol
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.44 no.2 s.314
    • /
    • pp.108-115
    • /
    • 2007
  • This paper proposes a new optimization algorithm prescribed by GBNSGA(Goal-Pareto Based Non-dominated Sorting Genetic Algorithm) whose result satisfies the user's needs and goals to enhance the performance of optimization. Typically, lots of real-world engineering problems encounter simultaneous optimization subject to satisfying prescribed multiple objectives. Unfortunately, since these objectives might be mutually competitive, it is hardly to find a unique solution satisfying every objectives. Instead, many researches have been investigated in order to obtain an optimal solution with sacrificing more than one objectives. This paper introduces a novel optimization scheme named by GBNSGA obeying both goals as well as objectives as possible as it can via allocating candidated solutions on Pareto front, which enhances the performance of Pareto based optimization. The performance of the proposed GBNSGA will be compared with that of the conventional NSGA and weighted-sum approach.