• 제목/요약/키워드: Fitness Function

검색결과 539건 처리시간 0.058초

전력조류계산을 위한 새로운 유전알고리즘 적용기법 (A New Application Technique of Genetic Algorithm for Power Flow)

  • 박순재;채명석;임한석;신중린
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1997년도 하계학술대회 논문집 D
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    • pp.790-793
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    • 1997
  • The most of conventional power flow(PF) calculations which adopt the well-known numerical methods such as Newton-Raphson method often diverge in certain critical cases like near the voltage collapse point. Some Approaches have been reported for the application of Genetic Algorithm(GA) to PF problem to overcome the disadvantages mentioned above. This paper presents a new application technique of GA for PF problem, in which some improvements and modifications are made ; modification of fitness function, improvements on crossover method, mutation law and convergence criterion, introduction of reactive power check routine. Some case studies with IEEE 5, 6, 14 bus systems are performed to show the performance of proposed algorithm.

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Directional Emission from Photonic Crystal Waveguide Output by Terminating with CROW and Employing the PSO Algorithm

  • Bozorgi, Mahdieh;Granpayeh, Nosrat
    • Journal of the Optical Society of Korea
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    • 제15권2호
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    • pp.187-195
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    • 2011
  • We have designed two photonic crystal waveguide (PCW) structures with output focused beams in order to achieve more coupling between photonic devices and decrease the mismatch losses in photonic integrated circuits. PCW with coupled resonator optical waveguide (CROW) termination has been optimized by both one dimensional (1D) and seven dimensional (7D) particle swarm optimization (PSO) algorithms by evaluating the fitness function by the finite difference time domain (FDTD) method. The 1D and 7D-optimizations caused the factors of 2.79 and 3.875 improvements in intensity of the main lobe compared to the non-optimized structure, whereas the FWHM in 7D-optimized structure was increased, unlike the 1D case. It has also been shown that the increment of focusing causes decrement of the bandwidth.

국내 철도시스템에서 기능전개를 통한 인적요소 관리방안 연구 (A Human Function Deployment for Managing Human Factor in Korea railroad)

  • 허은미;김사길;변승남
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2009년도 춘계학술대회 논문집
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    • pp.1376-1382
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    • 2009
  • Railway system is a word that includes rolling stock, railway infrastructure and signalling System in passenger transfer and rail freight. This system get higher competitiveness in energy efficiency part than other transfer system. But it is comprehensive system has latent loss of lives and property by big accident. First of all, to control this comprehensive system and to confirm safety of it, we need human resource management. This research will suggest how to apply efficiency safety verification and certification system to railway system. human resource management systems is defined as three kinds that is recruitment and management, ensure personnel's competencies and fitness, activity of assigning suitable responsible person for work.

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지리정보시스템과 토양수분모형을 이용한 농업가뭄분석 (Agricultural Drought Analysis using Soil Water Balance Model and Geographic Information System)

  • 배승종
    • 한국농공학회지
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    • 제41권6호
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    • pp.33-43
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    • 1999
  • Drought is a serious diaster in agriculutre, especially to upland crops. Hence, the Agricultural Drought Analysis Model (ADAM) that is integratable with GIS was applied to analyae agriculture drought in upland. ADAM is composed of two sub-models , one is a Soil Water Balance Model (SWBM) and the other is a Drougth Analysis Model (DAM) that is based on the Runs theory. The ADAM needs weather data, rainfall data and soil physical characteristics data as input and calculates daily soil moisture contents. GIS was integrated to the ADAM for the calculation of regional soil moisture using digitized landuse map, detaile dsoil map, thiessen network and district boundary . For the agriculutral drought analysis, the ADAM adapt the Runs theory for analyzing drought duration, severity and magnitude . Log-Pearson Type-III probability distribution function and Kolmogorov-Smirnov test were used to test the fitness of good of the model. The integration of ADAM with GIS was successfully implemented and would be operated effectively for the regional drought analysis.

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A New Hybrid Genetic Algorithm for Nonlinear Channel Blind Equalization

  • Han, Soowhan;Lee, Imgeun;Han, Changwook
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제4권3호
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    • pp.259-265
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    • 2004
  • In this study, a hybrid genetic algorithm merged with simulated annealing is presented to solve nonlinear channel blind equalization problems. The equalization of nonlinear channels is more complicated one, but it is of more practical use in real world environments. The proposed hybrid genetic algorithm with simulated annealing is used to estimate the output states of nonlinear channel, based on the Bayesian likelihood fitness function, instead of the channel parameters. By using the desired channel states derived from these estimated output states of the nonlinear channel, the Bayesian equalizer is implemented to reconstruct transmitted symbols. In the simulations, binary signals are generated at random with Gaussian noise. The performance of the proposed method is compared with those of a conventional genetic algorithm(GA) and a simplex GA. In particular, we observe a relatively high accuracy and fast convergence of the method.

유전자 알고리즘 기반 적응 군집화 알고리즘 (An Adaptive Clustering Algorithm Based on Genetic Algorithm)

  • 박남현;안창욱
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2004년도 추계학술발표논문집(상)
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    • pp.459-462
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    • 2004
  • This paper proposes a genetically inspired adaptive clustering algorithm. The algorithm automatically discovers the actual number of clusters and efficiently performs clustering without unduly compromising cluster purity. Chromosome encoding that ensures the correct number of clusters and cluster purity is discussed. The required fitness function is desisted on the basis of modified similarity criteria and genetic operators. These are incorporated into the proposed adaptive clustering algorithm. Experimental results show the efficiency of the clustering algorithm on synthetic data sets and real world data sets.

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한방화장품 추구혜택이 브랜드 선택에 미치는 영향 (The Influence of the Benefits Sought of Herbal Cosmetics on Brand Choice)

  • 이승민
    • 한국의류학회지
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    • 제32권2호
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    • pp.235-246
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    • 2008
  • The aims of this study were to identify benefits sought for herbal cosmetics and its significance in influencing consumers' attitude and brand choice. A questionnaire was distributed to 900 women between 20 and 50 years old who had purchased herbal cosmetics from Nov. 6, 2006 to Dec. 15, 2006. SPSS 12.0 package was used for data analysis. Factor analysis, $X^2$-test, frequency, percentage, multiple regression analysis were utilized. The results were as follows: 1. The benefits that consumer was seeking from herbal cosmetics could be classified into 9 dimensions; special function, brand, nutritional reinforcement, economy, scarcity, feeling, fragrance, fashion and skin fitness. 2. All of the above benefits sought except economy and fashion had positive impact on consumers' attitude of herbal cosmetics. 3. There was a correlation between types of benefits sought by consumers and their brand selection.

유전자 알고리듬을 이용한 운행비용 최소화 다용량 차량경로문제 (A Heterogeneous VRP to Minimize the Transportation Costs Using Genetic Algorithm)

  • 임무균;전건욱
    • 산업공학
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    • 제20권2호
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    • pp.103-111
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    • 2007
  • A heterogeneous VRP which considers various capacities, fixed and variable costs was suggested in this study. The transportation cost for vehicle is composed of its fixed and variable costs incurred proportionately to the travel distance. The main objective is to minimize the total sum of transportation costs. A mathematical programming model was suggested for this purpose and it gives an optimal solution by using OPL-STUDIO (ILOG CPLEX). A genetic algorithm which considers improvement of an initial solution, new fitness function with weighted cost and distance rates, and flexible mutation rate for escaping local solution was also suggested. The suggested algorithm was compared with the results of a tabu search and sweeping method by Taillard and Lee, respectively. The suggested algorithm gives better solutions rather than existing algorithms.

추진장약 수락시험시 포구속도 확률분포에 기준탄이 미치는 영향 (Effects of Calibration Rounds on the Statistical Distribution of Muzzle Velocity in Acceptance Test of Propelling Charge)

  • 박성호;김재훈
    • 한국군사과학기술학회지
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    • 제17권2호
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    • pp.204-212
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    • 2014
  • The purpose of this paper is to investigate the effects of calibration rounds on the statistical distribution of the muzzle velocity in acceptance test of propelling charge. It is shown that the normal distribution fits best among statistical distributions from goodness-of fit test. The 3p-Weibull distribution is also acceptable because the shape of the probability density function curve is similar to that of normal distribution and it also has near zero skewness value. Muzzle velocities of test rounds uncompensated by calibration rounds showed high variation and had comparatively higher skewness. Because the skewness of normal distribution is defined to be zero, calibration rounds make the normality of data higher.

단순확장관과 공명기 모듈 설계를 위한 유전자 알고리즘의 적용에 관한 연구 (Study on Adopting Genetic Algorithm for Design Single Expansion Chamber and Resonator Module)

  • 황상문;황성호;정의봉;김봉준;정융호
    • 소음진동
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    • 제10권1호
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    • pp.33-40
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    • 2000
  • With the increased requirement for automobile noise, a design fo mufflers with higher performances becomes more important in recent days. For a design of some mufflers, it must satisfy both minimizing back pressure and maximizing sound attenuation in broad range of frequecny. Even for a simple Helmholtz resonator, an important element in a muffler, a resonator design with accurate resonant frequency is difficult if one want to consider standing waves within the cavity. In this paper, the genetic algorithm, one of the optimization technique with high capability of global fittest solution and robust convergence, is applied to the design process of mufflers. Results show that the genetic algorithm can be successfully and efficiently used to find the fittest model for both mufflers and Helmoltz resonators.

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