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큐비트가 고려된 까마귀 탐색 알고리즘의 수렴 성능과 최적 설계 KCI 등재

Convergence Performance and Optimal Design Using Crow Search Algorithm Considering the Qubits

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  • URLhttps://db.koreascholar.com/Article/Detail/436507
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한국공간구조학회지 (JOURNAL OF THE KOREAN ASSOCIATION FOR AND SPATIAL STRUCTURES)
한국공간구조학회 (Korean Association for Spatial Structures)
초록

Recent advances in computer technology have made it possible to solve numerous challenges but require faster hardware development. However, the size of the classical computer has reached its physical limit, and researchers' interest in quantum computers is growing, and it is being used in various engineering fields. However, research using quantum computing in structural engineering is very insufficient. Therefore, in this paper, the characteristics of qubits, the minimum unit of quantum information processing, were grafted with the crow search algorithm to propose QCSA (quantum crow search algorithm) and compare the convergence performance according to parameter changes. In addition, by performing the optimal design of the example truss structure, it was confirmed that quantum computing can be used in the architectural field.

목차
1. 서론
2. 큐비트의 특성
3. 양자 기반 까마귀 탐색 알고리즘
    3.1 구성
    3.2 성능 분석
4. 수치 예제
    4.1 10bar 트러스 구조물
    4.2 17bar 트러스 구조물
    4.3 소결
5. 결론
감사의 글
References
저자
  • 이승재(한국기술교육대학교 디자인,건축공학부, 교수) | Lee Seung-Jae (School of Industrial Design & Architectural Engineering, KOREATECH)
  • 이돈우(한국기술교육대학교 디자인,건축공학 부, 박사후연구원) | Lee Don-Woo (School of Industrial Design & Architectural Engineering, KOREATECH) Corresponding author
  • 손수덕(한국기술교육대학교 디자인,건축공학부, 연구교수) | Shon Su-Deok (School of Industrial Design & Architectural Engineering, KOREATECH)