• 제목/요약/키워드: Genetic Improvement

검색결과 927건 처리시간 0.026초

Genetic Relationship between Milk Production, Calving Ease and Days Open at First Parity in Holstein Cows

  • Lee, D.H.;Han, K.J.
    • Asian-Australasian Journal of Animal Sciences
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    • 제17권2호
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    • pp.153-158
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    • 2004
  • Data containing 14,188 lactation and reproductive records of Korean Holstein cows at first parity distributed across 3,734 herd-year-season groups were analyzed to get genetic (co)variance estimates for milk yield, fat yield, calving ease, and days open. Milk and Fat yields were adjusted to 305 d. Heritabilities and genetic correlations were estimated in two different animal models on which were included direct genetic effects (Model 1) and direct+maternal genetic effects (Model 2) using REML algorithms. Milk and fat yields were affected by age at first calving as linear and quadratic. Heritability estimates of direct effects were 0.25 for milk yield, 0.17 for fat yield, 0.03 for calving ease and 0.03 for days open in Model 2. These estimates for maternal effects were 0.05, 0.08, 0.04 and less than 0.01 for each corresponding trait. Milk productions at first lactation were to show genetically favorable correlation with calving ease and days open for direct genetic effects (-0.24 - -0.11). Moreover, calving ease was correlated with days open of 0.30 for direct genetic effects. Correlations between direct and maternal effects for each trait were negatively correlated (-0.63 - -0.32). This study suggested that maternal additive genetic variance would be not ignorable for genetic evaluation of milk production as well as reproductive traits such as calving ease and days open at first parity. Furthermore, difficult calving would genetically influence the next conception.

유전자 알고리듬을 이용한 블럭단위의 설비배치에 관한 연구

  • 우성식;박양병
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 1996년도 추계학술대회발표논문집; 고려대학교, 서울; 26 Oct. 1996
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    • pp.45-48
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    • 1996
  • The most research on facility layout problems ignored the actual shape of building where the activities(departments) are to be arranged. They also ignored the aisles between departments inside the building. In this paper, we present a genetic algorithm that searches a very good facility layout with horizontal aisles for two different cases with respect to the department shape. From the extensive experiments, the proposed genetic algorithm generated better layouts than the ones obtained by applying Tam's algorithm. It showed about 10% improvement of performance. We found out the best combination of genetic operators through the experiments.

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DNA 지문을 이용한 가금의 유전분석과 개량 (DNA Fingerprinting in Poultry Breeding and Genetic Analysis)

  • 여정수
    • 한국가금학회지
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    • 제22권2호
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    • pp.97-104
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    • 1995
  • Recently, DNA fingerprinting has been utilized as the most powerful tool for genetic analysis and improvement of poultry. This technique enables us to solve several problems of poultry breeding ; traits of low heritability, difficulty in keeping the performance records, measuring in late of life, and sex limited traits. Application of DNA fingerprinting is chiefly focused to individual and population identification, evolution force, quantitative trait marker, introgression of new gene, and prediction of heterosis. Thus, research work on DNA fingerprinting will he accelerated to analyze genetic components exactly and improve the performance of poultry.

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On Combining Genetic Algorithm (GA) and Wavelet for High Dimensional Data Reduction

  • Liu, Zhengjun;Wang, Changyao;Zhang, Jixian;Yan, Qin
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.1272-1274
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    • 2003
  • In this paper, we present a new algorithm for high dimensional data reduction based on wavelet decomposition and Genetic Algorithm (GA). Comparative results show the superiority of our algorithm for dimensionality reduction and accuracy improvement.

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하이브리드 병렬 유전자 알고리즘을 이용한 최적 신뢰도-중복 할당 문제 (An Optimal Reliability-Redundancy Allocation Problem by using Hybrid Parallel Genetic Algorithm)

  • 김기태;전건욱
    • 산업공학
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    • 제23권2호
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    • pp.147-155
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    • 2010
  • Reliability allocation is defined as a problem of determination of the reliability for subsystems and components to achieve target system reliability. The determination of both optimal component reliability and the number of component redundancy allowing mixed components to maximize the system reliability under resource constraints is called reliability-redundancy allocation problem(RAP). The main objective of this study is to suggest a mathematical programming model and a hybrid parallel genetic algorithm(HPGA) for reliability-redundancy allocation problem that decides both optimal component reliability and the number of component redundancy to maximize the system reliability under cost and weight constraints. The global optimal solutions of each example are obtained by using CPLEX 11.1. The component structure, reliability, cost, and weight were computed by using HPGA and compared the results of existing metaheuristic such as Genetic Algoritm(GA), Tabu Search(TS), Ant Colony Optimization(ACO), Immune Algorithm(IA) and also evaluated performance of HPGA. The result of suggested algorithm gives the same or better solutions when compared with existing algorithms, because the suggested algorithm could paratactically evolved by operating several sub-populations and improve solution through swap, 2-opt, and interchange processes. In order to calculate the improvement of reliability for existing studies and suggested algorithm, a maximum possible improvement(MPI) was applied in this study.

강화학습에 의한 유전자 프로그래밍의 성능 개선 (Performance Improvement of Genetic Programming Based on Reinforcement Learning)

  • 전효병;이동욱;심귀보
    • 한국지능시스템학회논문지
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    • 제8권3호
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    • pp.1-8
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    • 1998
  • 본 논문에서는 유전자 프로그래밍의 성능을 향상시키기 위하여 강화학습법에 기반한 강화 유전자 프로그래밍을 제안한다. 트리구조와 프로그램을 염색체로 가지는 유전자 프로그래밍(GP)은 다른 진화 알고리즘에 비해 염색체의 크기에 제한이 없기 때문에 표현력에 융통성이 많다는 장점이 있다. 그러나 이러한 특징은 반대고 교차 및 돌연변이 연산에 있어서 수렴성을 떨어뜨리는 단점을 나타낸다. 따라서 유전자 프로그래밍은 다른 진화알고리즘에 비해 개체군의 크기 및 진화 세대수를 크게 잡는 것이 일반적이다. 본 논문에서는 유전자 프로그래밍의 이러한 성질을 개선하기 위해서 프로그램에 강화신호를 주어 이것의 보답/벌칙의 정도에 기반한 교차 및 돌연번이 연산을 실행하는 방법을 제안한다. 제안된 방법은 인공개미(Artificial Ant)문제에 적용하여 그 유효성을 입증한다.

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유전자 알고리즘을 이용한 차량 승차감 개선에 관한 연구 (A Study on the Improvement of Vehicle Ride Comfort by Genetic Algorithms)

  • 백운태;성활경
    • 한국자동차공학회논문집
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    • 제6권4호
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    • pp.76-85
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    • 1998
  • Recently, Genetic Algorithm(GA) is widely adopted into a search procedure for structural optimization, which is a stochastic direct search strategy that mimics the process of genetic evolution. This methods consist of three genetics operations maned selection, crossover and mutation. Contrast to traditional optimal design techniques which use design sensitivity analysis results, GA, being zero-order method, is very simple. So, they can be easily applicable to wide area of design optimization problems. Also, owing to multi-point search procedure, they have higher probability of converge to global optimum compared to traditional techniques which take one-point search method. In this study, a method of finding the optimum values of suspension parameters is proposed by using the GA. And vehicle is modelled as planar vehicle having 5 degree-of-freedom. The generalized coordinates are vertical motion of passenger seat, sprung mass and front and rear unsprung mass and rotate(pitch) motion of sprung mass. For rapid converge and precluding local optimum, share function which distribute chromosomes over design bound is introduced. Elitist survival model, remainder stochastic sampling without replacement method, multi-point crossover method are adopted. In the sight of the improvement of ride comfort, good result can be obtained in 5-D.O.F. vehicle model by using GA.

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Improvement on Sensorless Vector Control Performance of PMSM with Sliding Mode Observer

  • Wibowo, Wahyu Kunto;Jeong, Seok-Kwon;Jung, Young-Mi
    • 동력기계공학회지
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    • 제18권5호
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    • pp.129-136
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    • 2014
  • This paper proposes improvement on sensorless vector control performance of a permanent magnet synchronous motor (PMSM) with sliding mode observer. An adaptive observer gain and second order cascade low-pass filter (LPF) were used to improve the estimation accuracy of the rotor position and speed. The adaptive observer gain was applied to suppress the chattering intensity and obtained by using the Lyapunov's stability criterion. The second order cascade LPF was designed for the system to escalate the filtering performance of the back-emf estimation. Furthermore, genetic algorithm was used to optimize the system PI controller's performance. Simulation results showed the effectiveness of the suggested improvement strategy. Moreover, the strategy was useful for the sensorless vector control of PMSM to operate on the low-speed area.

한우의 성장형질과 도체형질에 대한 유전상관 추정 (Estimation of Genetic Correlations for the Growth and Carcass Traits in Hanwoo)

  • 박철진;박영일
    • Journal of Animal Science and Technology
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    • 제44권6호
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    • pp.685-692
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    • 2002
  • 본 연구는 농협중앙회 가축개량사업소와 한우개량단지에서 1991년도부터 1996년도까지 출생하여 사육된 1,823두의 한우 수소에 대한 자료를 이용하여 성장형질과 도체형질의 유전상관을 추정하기 위하여 실시하였으며, DF- REML을 이용한 다형질 Animal Model로 추정하였다. 12개월 체중과 일당증체량은 0.76, 12개월 체중과 체장은 0.79의 유전상관을 나타내었고, 18개월 체중과 일당증체량 및 18개월체중과 체장간의 유전상관은 각각 0.86 및 0.82로 추정되었다. 또한 냉도체중과 도체율, 배최장근단면적, 등지방두께 및 도체장간의 유전상관은 각각 0.39, 0.37, 0.44, 0.63으로 추정되었고, 등지방두께와 근내지방도는 0.36의 유전상관을 나타내었다. 냉도체중과 12개월 체중 및 18개월체중간의 유전상관은 0.71과 0.96으로 높은 정의 상관을 나타내었고, 체장과의 유전상관도 0.63과 0.75로 체중과 유사한 경향을 나타내었다. 도체율과 체중, 일당증체량, 체장, 곤폭 및 흉위간에는 정의 유전상관을 나타냈으며, 배최장근단면적과 성장형질간의 유전상관은 -0.07 ${\sim}$0.32으로 낮게 추정되었고, 등지방두께와 성장형질간 유전상관은 낮게 추정되었지만 18개월령 흉위에서 높게 나타났다. 근내지방도와 18개월 흉위는 0.25의 유전상관 상관이 추정되었다.

한우 도체형질 및 도체 일반성분 유전모수 추정 (Estimates of Genetic Parameter for Carcass Traits and Chemical Composition Analysis in Hanwoo)

  • 노승희;김진원;이성수;이은주;박병호;최태정;박미나;이정규
    • 농업생명과학연구
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    • 제51권4호
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    • pp.111-119
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    • 2017
  • 본 연구의 목적은 한우 도체형질과 등심에 대한 일반성분(수분, 조지방, 조단백질, 조회분) 분석을 통한 등심의 영양학적 가치와 유전모수 추정을 통한 개량형질 적용 가능성을 확인하기 위하여 실시하였다. 본 연구에 이용된 공시 재료는 한우 후대검정우 47차부터 57차까지 실시한 2,033두에 대하여 등심 1kg을 시료를 채취하여 분석한 자료를 이용하였다. 연구결과 한우 도체형질인 도체중, 등심단면적, 등 지방두께, 근내지방도에 대한 유전력은 각각 0.37, 0.51, 0.44, 0.57로 추정되었으며, 일반성분 분석인 수분, 조지방, 조단백질, 조회분에 대한 유전력은 각각 0.62, 0.64, 0.58, 0.12로 추정되었다. 그리고, 도체형질과 일반성분간의 유전상관은 도체중과 조지방에서 0.35, 근내지방도와 수분, 조지방, 조단백질, 조회분에서 각각 -0.966, 0.964, -0.924, -0.664으로 고도의 유전상관을 보였다. 수분과 조지방, 조단백질간의 유전상관은 각각 -0.998, 0.969로 분석되었으며, 조지방과 조단백질에서 -0.979로 고도의 유전상관을 보였다. 일반성분 분석치인 수분, 조지방, 조단백질에서 고도의 유전력을 보였으므로, 개량형질 이용 가능성이 있을 것으로 사료된다.