Conference - Kyu-Yeul Lee, Seon-Ho Cho, Myung-Il Roh, "An Efficient Global-Local Hybrid Optimization Method Using Design Sensitivity Analysis", Proceedings of OptiCon 2000, Newport Beach, USA, pp. 1-13, 2000.10.26-27

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Abstract	An efficient global-local hybrid optimization method is developed combining a genetic algorithm (GA) as a global optimizer and a method of feasible direction (MFD) as a local optimizer. During the global iteration using GA, the design sensitivity information with respect to design variables is used to perform a what-if study for efficient crossover. After the final global iteration, a local optimization can be followed to further improve the solution obtained from GA. The developed global-local hybrid optimization method is applied to simple mathematical problems to compare the efficiency and accuracy of the proposed method with that of the conventional genetic algorithm. The objective function using the proposed method converges to the optimum much faster than the conventional GA. It is also able to find the global optimum very quickly even though the starting point is near a local minimum. The proposed method finds the known solution of the mathematical problems very quickly whereas the conventional GA sometimes fails to find the exact solution even though it requires more iteration. The application of the developed method is also extended to the practical engineering problems, which shows very good and efficient results.
Publication Date	2000-10-26

Abstract

An efficient global-local hybrid optimization method is developed combining a genetic algorithm (GA) as a global optimizer and a method of feasible direction (MFD) as a local optimizer. During the global iteration using GA, the design sensitivity information with respect to design variables is used to perform a what-if study for efficient crossover. After the final global iteration, a local optimization can be followed to further improve the solution obtained from GA. The developed global-local hybrid optimization method is applied to simple mathematical problems to compare the efficiency and accuracy of the proposed method with that of the conventional genetic algorithm. The objective function using the proposed method converges to the optimum much faster than the conventional GA. It is also able to find the global optimum very quickly even though the starting point is near a local minimum. The proposed method finds the known solution of the mathematical problems very quickly whereas the conventional GA sometimes fails to find the exact solution even though it requires more iteration. The application of the developed method is also extended to the practical engineering problems, which shows very good and efficient results.

Publication Date

2000-10-26

Kyu-Yeul Lee, Seon-Ho Cho, Myung-Il Roh, "An Efficient Global-Local Hybrid Optimization Method Using Design Sensitivity Analysis", Proceedings of OptiCon 2000, Newport Beach, USA, pp. 1-13, 2000.10.26-27

List of Articles
번호	분류	제목	Publication Date
476	International Conference	Min-Chul Kong, Myung-Il Roh, In-Chang Yeo, Ki-Su Kim, Jeongyoul Lee, Jongoh Kim, Gapheon Lee, "A Detection Method of Objects with Text in Drawings Based on Deep Learning", Proceedings of ISOPE 2023, Ottawa, Canada, 2023.06.19-23	2023-06-19
475	Domestic Conference	전도현, 노명일, 이혜원, 유동훈, 진은석 "입력 데이터의 불확실성과 복잡한 조우 상황을 고려한 충돌 위험도 평가 방법", 2023년도 대한조선학회 춘계학술발표회, 부산, pp. 442, 2023.05.02-04	2023-05-04
474	Domestic Conference	김진혁, 노명일, 여인창, "설계 요구 조건을 고려한 MLP 기반 상선의 선형 변환 방법", 2023년도 대한조선학회 춘계학술발표회, 부산, pp. 309-310, 2023.05.02-04	2023-05-04
473	Domestic Conference	여인창, 노명일, 공민철, 전도현, 하지상, 유동훈, 진은석, "선박의 자동 접이안을 위한 서라운드 뷰 생성 방법", 2023년도 대한조선학회 춘계학술발표회, 부산, pp.315-316, 2023.05.02-04	2023-05-04
472	Domestic Conference	공민철, 노명일, 한인수, 김미진, 김정연, "P&ID 내 객체 및 문자 인식 방법", 2023년도 대한조선학회 춘계학술발표회, 부산, pp. 313-314, 2023.05.02-04	2023-05-04
471	Domestic Conference	김하연, 노명일, 하지상, 조영민, 이혜원, "센서 데이터를 활용한 해상 장애물의 개선된 추적 방법", 2023년도 대한조선학회 춘계학술발표회, 부산, pp. 436, 2023.05.02-04	2023-05-04
470	Domestic Conference	조영민, 노명일, 전도현, 하지상, 이혜원, 유동훈, 진은석, "개선된 센서 데이텨 연관 및 융합 방법", 2023년도 대한조선학회 춘계학술발표회, 부산, pp. 261, 2023.05.02-04	2023-05-03
469	Domestic Conference	김동우, 노명일, 전도현, 우선홍, 김진혁, 김용태, 이혜원, "멤브레인형 액화가스 화물창 1차방벽 최적 형상 개발을 위한 딥러닝 기반 구조 안전성 예측 방법", 2023년도 대한조선학회 춘계학술발표회, 부산, pp. 22-23, 2023.05.02-04	2023-05-03
468	Domestic Conference	하지상, 노명일, 공민철, 김기수, "장비 및 배관의 다단계 최적화를 활용한 선박의 기관실 배치 방법", 2023년도 대한조선학회 춘계학술발표회, 부산, pp. 311, 2023.05.02-04	2023-05-02
467	Domestic Conference	노명일, "자율운항선박을 위한 핵심 AI 기술", 2023년도 스마트전기선박연구회 동계학술발표회, 대전, 2023.02.23-24	2023-02-23

번호

분류

제목

Publication Date

476

International Conference

Min-Chul Kong, Myung-Il Roh, In-Chang Yeo, Ki-Su Kim, Jeongyoul Lee, Jongoh Kim, Gapheon Lee, "A Detection Method of Objects with Text in Drawings Based on Deep Learning", Proceedings of ISOPE 2023, Ottawa, Canada, 2023.06.19-23

2023-06-19

475

Domestic Conference

전도현, 노명일, 이혜원, 유동훈, 진은석 "입력 데이터의 불확실성과 복잡한 조우 상황을 고려한 충돌 위험도 평가 방법", 2023년도 대한조선학회 춘계학술발표회, 부산, pp. 442, 2023.05.02-04 file