한국공간구조학회논문집 (Journal of Korean Association for Spatial Structures)

  • 제21권2호
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  • Pages.89-97
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  • 2021
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  • 1598-4095(pISSN)
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  • 2287-7401(eISSN)
한국공간구조학회 (Korean Association for Spatial Structures)
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하이브리드 메타휴리스틱 기법을 사용한 트러스 위상 최적화

Truss Topology Optimization Using Hybrid Metaheuristics

  • 이승혜 (딥러닝 건축연구소, 세종대학교 건축공학과) ;
  • 이재홍 (딥러닝 건축연구소, 세종대학교 건축공학과)
  • Lee, Seunghye (Dept. of Architectural Engineering, Sejong Univ.) ;
  • Lee, Jaehong (Dept. of Architectural Engineering, Sejong Univ.)
  • 투고 : 2021.05.14
  • 심사 : 2021.06.10
  • 발행 : 2021.06.15
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초록

This paper describes an adaptive hybrid evolutionary firefly algorithm for a topology optimization of truss structures. The truss topology optimization problems begins with a ground structure which is composed of all possible nodes and members. The optimization process aims to find the optimum layout of the truss members. The hybrid metaheuristics are then used to minimize the objective functions subjected to static or dynamic constraints. Several numerical examples are examined for the validity of the present method. The performance results are compared with those of other metaheuristic algorithms.

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과제정보

본 연구는 교육과학기술부 재원 한국연구재단의 신진연구지원사업(NRF-2018R1C1B6004751)에 의해 수행되었습니다.

참고문헌

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