• Title/Summary/Keyword: genetic system

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Genetic Algorithm Based Economic Dispatch with Valve Point Effect (Valve Point 효과가 고려된 경제급전에서의 유전알고리즘 응용)

  • Park, Jong-Nam;Park, Kyung-Won;Kim, Ji-Hong;Kim, Jin-O
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.3
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    • pp.203-211
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    • 1999
  • This paper presents a new approach on genetic on genetic algorithm to economic dispatch problem for valve point discontinuities. Proposed approach in this paper on genetic algorithms improves the performance to solve economic dispatch problem for valve point discontivuities through improved death penalty method, generation-apart elitism, atavism and sexual selection with sexual distinction. Numerical results on a test system consisting of 13 thermal units show that the proposed approach is faster, more robust and powerful than conventional genetic algorithms.

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Comparison of Adaptive Operators in Genetic Algorithms (유전알고리즘에서 적응적 연산자들의 비교연구)

  • Yun, Young-Su;Seo, Seoun-Lock
    • Journal of Intelligence and Information Systems
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    • v.8 no.2
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    • pp.189-203
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    • 2002
  • In this paper we compare the performances of adaptive operators in genetic algorithm. For the adaptive operators, the crossover and mutation operators of genetic algorithm are considered. One fuzzy logic controller is developed in this paper and two heuristics is presented from conventional works for constructing the operators. The fuzzy logic controller and two conventional heuristics adaptively regulate the rates of the operators during genetic search process. All the algorithms are tested and analyzed in numerical examples. Finally, the best algorithm is recommended.

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Fuzzy Rules and Membership Functions Tunning of Fuzzy Controller Applying Genetic Algorithms of Speed Control of DC Motor (퍼지 제어기의 퍼지규칙 및 멤버쉽 함수 튜닝에 유전알고리즘을 적용한 직류 모터의 속도제어)

  • Hwang, G.H.;Kim, H.S.;Park, J.H.;Hwang, C.S.;Kim, J.K.
    • Proceedings of the KIEE Conference
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    • 1996.07b
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    • pp.1021-1023
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    • 1996
  • This paper proposes a design of self-tuning fuzzy rules and membership functions based on genetic algorithms. Sub-optimal fuzzy rules and membership functions are found by using genetic algorithms. Genetic algorithms are used for tuning fuzzy rules and membership functions. A arbitrary speed trajectories are selected for the reference input of the proposed methods. Experimental results show the good performance in the DC motor control system with the self-tuning fuzzy controller based on genetic algorithms.

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Genetic Algorithm Based Economic Dispatch with Valve Point Loading (Valve Point 효과가 고려된 경제급전 문제에서의 유전알고리즘 응용)

  • Park, Jong-Nam;Park, Sang-Ki;Kim, Jin-O
    • Proceedings of the KIEE Conference
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    • 1996.11a
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    • pp.172-174
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    • 1996
  • This paper presents a new approach on genetic algorithms to economic dispatch problem for valve point discontinuities. Although it has been already shown that genetic algorithm was more powerful to economic dispatch problem for valve point discontinuities than other optimization algorithms, proposed approach in this paper on genetic algorithms improves the performance to solve economic dispatch problem for valve point discontinuities through combination in penalty function with death penalty, generation-apart elitism and heuristic crossover. Numerical results on an actural utility system consisted of 13 thermal units show that the proposed approach is faster and robuster than the classical genetic algorithm.

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Optimal Production Design Using Genetic Algorithms (유전알고리즘을 이용한 최적생산설계)

  • 류영근
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.22 no.49
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    • pp.115-123
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    • 1999
  • An optimization problem is to select the best of many possible design alternatives in a complex design space. Genetic algorithms, one of the numerous techniques to search optimal solution, have been successfully applied to various problems (for example, parameter tuning in expert systems, structural systems with a mix of continuous, integer and discrete design variables) that could not have been readily solved with more conventional computational technique. But, conventional genetic algorithms are ill defined for two classes of problems, ie., penalty function and fitness scaling. Therefore, this paper develops Improved genetic algorithms(IGA) to solve these problems. As a case study, numerical examples are demonstrated to show the effectiveness of the Improved genetic algorithms.

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Vehicle Routing Problems with Time Window Constraints by Using Genetic Algorithm (유전자 알고리즘을 이용한 시간제약 차량경로문제)

  • Jeon, Geon-Wook;Lee, Yoon-Hee
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.29 no.4
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    • pp.75-82
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    • 2006
  • The main objective of this study is to find out the shortest path of the vehicle routing problem with time window constraints by using both genetic algorithm and heuristic. Hard time constraints were considered to the vehicle routing problem in this suggested algorithm. Four different heuristic rules, modification process for initial and infeasible solution, 2-opt process, and lag exchange process, were applied to the genetic algorithm in order to both minimize the total distance and improve the loading rate at the same time. This genetic algorithm is compared with the results of existing problems suggested by Solomon. We found better solutions concerning vehicle loading rate and number of vehicles in R-type Solomon's examples R103 and R106.

Genetic diagnosis of systemic autoinflammatory diseases and underlying primary immunodeficiency

  • Seung Hwan Oh
    • Journal of Genetic Medicine
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    • v.19 no.2
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    • pp.57-62
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    • 2022
  • Systemic autoinflammatory diseases (SAIDs) are characterized by unprovoked inflammatory episodes such as recurrent/periodic fever, serositis, skin lesions, abdominal symptoms, arthritis/arthralgia, and central nervous system involvement. Genetic diagnosis of SAIDs has been challenging because disease manifestations overlap among themselves and with other immunological disease categories, such as infection and autoimmune diseases. However, the advent of next-generation sequencing (NGS) technologies and expanding knowledge about the innate immunity and inflammation have made the routine genetic diagnosis of SAIDs possible. Here, we review the recurrent/periodic fevers, other recently identified autoinflammatory diseases, and type I interferonopathies, and discuss the clinical usefulness of NGS targeted sequencing for SAIDs, and recent advance of understandings for this heterogeneous disease group as for underlying primary immunodeficiency.

Development of System-Wide Functional Analysis Platform for Pathogenicity Genes in Magnaporthe oryzae

  • Park, Sook-Young;Choi, Jaehyuk;Choi, Jaeyoung;Kim, Seongbeom;Jeon, Jongbum;Kwon, Seomun;Lee, Dayoung;Huh, Aram;Shin, Miho;Jung, Kyungyoung;Jeon, Junhyun;Kang, Chang Hyun;Kang, Seogchan;Lee, Yong-Hwan
    • 한국균학회소식:학술대회논문집
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    • 2014.10a
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    • pp.9-9
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    • 2014
  • Null mutants generated by targeted gene replacement are frequently used to reveal function of the genes in fungi. However, targeted gene deletions may be difficult to obtain or it may not be applicable, such as in the case of redundant or lethal genes. Constitutive expression system could be an alternative to avoid these difficulties and to provide new platform in fungal functional genomics research. Here we developed a novel platform for functional analysis genes in Magnaporthe oryzae by constitutive expression under a strong promoter. Employing a binary vector (pGOF1), carrying $EF1{\beta}$ promoter, we generated a total of 4,432 transformants by Agrobacterium tumefaciens-mediated transformation. We have analyzed a subset of 54 transformants that have the vector inserted in the promoter region of individual genes, at distances ranging from 44 to 1,479 bp. These transformants showed increased transcript levels of the genes that are found immediately adjacent to the vector, compared to those of wild type. Ten transformants showed higher levels of expression relative to the wild type not only in mycelial stage but also during infection-related development. Two transformants that T-DNA was inserted in the promotor regions of putative lethal genes, MoRPT4 and MoDBP5, showed decreased conidiation and pathogenicity, respectively. We also characterized two transformants that T-DNA was inserted in functionally redundant genes encoding alpha-glucosidase and alpha-mannosidase. These transformants also showed decreased mycelial growth and pathogenicity, implying successful application of this platform in functional analysis of the genes. Our data also demonstrated that comparative phenotypic analysis under over-expression and suppression of gene expression could prove a highly efficient system for functional analysis of the genes. Our over-expressed transformants library would be a valuable resource for functional characterization of the redundant or lethal genes in M. oryzae and this system may be applicable in other fungi.

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The Design Elements for the Model Development of New-Hanok Type Service Facilities in Apartment Housing - Focused on the Genetic factors of Korean Traditional Architecture -

  • Park, Joon-Young;Kwon, Hyuck-Sam;Bae, Kang-Won
    • KIEAE Journal
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    • v.15 no.3
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    • pp.29-36
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    • 2015
  • Purpose: This study is as only basic research for the model Development of the New-Hanok Type Service Facilities in Apartment Housing, which is as a decisive factor used as a planning element for developing the model inherited tradition, There aimed at extracting the genetic factor of Korea's traditional architecture. Method: For this purpose, Consider the concept and regulations of the New-Hanok Type Service Facilities in Apartment Housing and examined the Domestic Application Status of the New-Hanok Type Service Facilities in Apartment Housing. It sets direction of the New-Hanok Type models development based on Expert advice and the literature, and was reviewed a primal reason system of Korea as an extraction base of genetic factors. Result: Then Through the framework of the vertical axis (the form), the horizontal axis (space), It extracted the genetic factors of the Korea Traditional Architecture, classified the genetic factors extracted as the structure(layout, construction, space), features, traditional beauty, investigated the content of the form representation and spatial meaning, and were characterized. Based on the result, It were comprehensive the genetic factors extracted as plan Elements for inheriting of the traditions.