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.

Abstract
1. 서론
2. 메타휴리스틱 알고리즘
    2.1 DE 알고리즘
    2.2 FA 알고리즘
    2.3 AHEFA 알고리즘
3. 문제 정의
    3.1 가상 부재 및 삭제 조건
    3.2 트러스 위상 및 사이즈 최적화 문제
4. 수치해석 예제
    4.1 A 20-bar planar truss
    4.2 A 24-bar planar truss
5. 결론
References

• 이승혜(딥러닝 건축연구소/세종대학교 건축공학과) | Lee Seunghye (Dept. of Architectural Engineering, Sejong Univ.)
• 이재홍(딥러닝 건축연구소/세종대학교 건축공학과) | Lee Jaehong (Dept. of Architectural Engineering, Sejong Univ.) 교신저자