• Title/Summary/Keyword: RCS niching genetic algorithm

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A Study on Niching Genetic Algorithm for Multimodal Function Optimization (Multimodal 함수 최적화를 위한 Niching 유전 알고리즘에 대한 연구)

  • Lee, Chul-Gyun;Cho, Dong-Hyeok;Jung, Hyun-Kyo
    • Proceedings of the KIEE Conference
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    • 1998.07a
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    • pp.76-78
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    • 1998
  • Niching methods extend genetic algorithms to domains that require the location of multiple solutions. But, current niching methods have some of drawbacks in the ability of search and preservation of solutions. So, this paper presents a new technique, named as Restricted Competition Selection(RCS). Then, RCS method is compared with sharing and deterministic crowding by applying to some multimodal problems in order to verify that it has more favorable properties.

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Analysis and Optimal Design of Optical Pickup Actuator by 3D-EMCN Method (3D-EMCN법을 이용한 광 픽업 액츄에이터의 해석 및 최적설계)

  • Kim, Jin-A;Jeon, Tae-Gyeong
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.51 no.5
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    • pp.234-241
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    • 2002
  • An optical pickup actuator is an objective-lens-moving mechanism that provides a means to follow the disk displacement accurately(1). In this paper, a slim type optical pickup actuator for Notebook PCs is analyzed and designed to improve the driving sensitivity A three dimensional equivalent magnetic circuit network method (3D-EMCN method) is proposed for an analysis method which provides better characteristics in both precision and computation time of analysis comparing with a commercial three-dimensional finite element (3D-FEM) codes. To verify the validity of proposed method, we made a comparison between the analysis results and the experimental ones. We also compared this analysis results with 3D-FEM results. Among the several optimal algorithm, we adopt a niching genetic algorithm, which renders a set of the multiple optimal solutions. RCS (Restricted Competition Selection) niching genetic algorithm is used for optimal design of the actuator's performance. Recently, the pickup actuator needs additional driving structure for radial and tangential tilting motion to obtain better pick-up performance. So we applied the proposed method to the model containing tilting coils.

A Study for the Optimum Design of Fan Motor In Refrigerator Using A Niching Algorithm and Characteristic Analysis Using The Finite E16men1 Method (F.E.M.을 이용한 냉장고용 FAN 모터의 해석과 Niching Algorithm을 이용한 최적 설계에 관한 연구)

  • Han, Dong-Kyu;Chung, Tae-Kyung;Jin, Yong-Sun
    • Proceedings of the KIEE Conference
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    • 1999.07a
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    • pp.214-216
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    • 1999
  • This paper discussed an optimal designs of 2 pole fan motors in refrigerator using a Niching Algorithm. We applied a Niching method to multi-objective optimal design of air gap construct. This Niching genetic algorithm is called "Restricted Competition Selection"(RCS) that is suitable for real world problem such as shape or structural optimization of electromagnetic device. The finite element method being used for nonlinear numerical characteristic analysis is provided exact solution in the system. Through this process is reduced the cogging torque ripple in air gap.

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Optimal Design of Torque Motor using an Improved Niching Genetic Algorithm (개선된 니칭 유전 알고리즘을 이용한 토크모터의 최적설계)

  • Kim, Jae-Kwang;Cho, Dong-Hyeok;Jung, Hyun-Kyo;Lee, Cheol-Gyun
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.50 no.7
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    • pp.323-330
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    • 2001
  • Niching method enables the genetic algorithm(GA) to be applied to the problems that require the location of multiple solutions in the search space, but these methods have fatal disadvantages. The main disadvantage is that the method requires too much calculation of object function. In this paper, a niching method using restricted competition selection(RCS) combined with a pattern search method(PSM) is proposed to identify multiple niches more efficiently and fast in a multimodal domain. The validity of the proposed method is verified by the simulation of test functions and the optimal design of an torque motor.

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Beam Forming of Array Antenna Using Niching Genetic Algorithm (니칭 유전 알고리즘을 이용한 어레이 안테나의 방사패턴 합성)

  • Kang, No-Weon;Lee, Jung-Yeop;Jung, Hyun-Kyo;Cheon, Chang-Yul
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.2 no.1
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    • pp.30-36
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    • 2003
  • Recently, mechanically beam-steering microstrip patch array antenna using MEMS technology is developed and tested. In this paper as an application of developed antenna, new radiation pattern synthesis method far beam-steering antenna without phase-shifter is proposed, and applied to synthesis of desired beam shape. Niching genetic algorithm using Restricted Competition Selection (RCS) is used for radiation pattern optimization. This approach can be applied to design of array antenna for meet EMC standard and through proposed method specific beam shapes can be synthesized.

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Beam Forming of Array Antenna Using Niching Genetic Algorithm (니칭 유전 알고리즘을 이용한 어레이 안테나의 방사패턴 합성)

  • Kang No-Weon;Lee Jung-Yeop;Jung Hyun-Kyo;Cheon Chang-Yul
    • 한국정보통신설비학회:학술대회논문집
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    • 2002.08a
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    • pp.3-5
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    • 2002
  • 최근 기계적으로 빔을 움직일 수 있는 마이크로 스트립 패치 배열 안테나가 MEMS 기술을 이용해서 제작되고 시험되었다. 본 논문에서는, 제작된 안테나의 적용 예로써 위상변위기를 사용하지 않는 새로운 어레이 안테나의 방사패턴 합성방법을 제안하고, 제안된 방법을 원하는 빔 형상합성에 적용하였다. 방사패턴 형상의 최적화에는 Restricted Competition Selection(RCS)를 이용한 유전 알고리즘을 이용하였다. 또한 이러한 방식의 접근은 EMC 표준에 대처하기 위한 배열 안테나의 설계 시에도 적용이 가능하며, 제안된 방법을 이용하여 특정한 빔 형상들에 대한 합성이 가능하다.

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Analysis and Optimal Design of Optical Pickup Actuator by 3-D EMCN method (3D-EMCN범을 이용한 광 픽업 엑츄에이터의 해석 및 최적설계)

  • Kim, Gin-A;Chung, Tea-Kyung;Choi, In-Ho;Hong, Sam-Yul
    • Proceedings of the KIEE Conference
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    • 2001.10a
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    • pp.12-14
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    • 2001
  • In this paper, three dimensional Equivalent Magnetic Circuit Method(3-D EMCN method), a numerical analysis method which supplements to magnetic equivalent circuit adding numerical technique, is proposed for analysis Optical Pickup Actuator. [3] This method provides better characteristics both in precision of the analysis and in computation time than other analysis method such as three-dimensional Finite Element Method. RCS Niching Genetic Algorithm are used for optimal design.

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