Journal of Korean Association for Spatial Structures (한국공간구조학회논문집)

Korean Association for Spatial Structures (한국공간구조학회)
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Truss Topology Optimization Using Hybrid Metaheuristics

하이브리드 메타휴리스틱 기법을 사용한 트러스 위상 최적화

  • Lee, Seunghye (Dept. of Architectural Engineering, Sejong Univ.) ;
  • Lee, Jaehong (Dept. of Architectural Engineering, Sejong Univ.)
  • 이승혜 (딥러닝 건축연구소, 세종대학교 건축공학과) ;
  • 이재홍 (딥러닝 건축연구소, 세종대학교 건축공학과)
  • Received : 2021.05.14
  • Accepted : 2021.06.10
  • Published : 2021.06.15
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Abstract

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.

Keywords

Acknowledgement

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

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