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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Structural Engineering and Mechanics, An Int'l Journal Structural Engineering and Mechanics, An Int'l Journal Vol.79 No.2
- 발행연도
- 2021.1
- 수록면
- 247 - 265 (19page)
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초록· 키워드
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The current investigation deals with assessing the search performance of a recently developed, parameter-free, and self-adaptive search algorithm so-called Interactive Fuzzy Search Algorithm (IFSA) in solving weight minimization of the constrained structural optimization problems with discrete variables. The proposed IFSA combines the navigation pattern of the Interactive Search Algorithm (ISA) with the decision-making competence of fuzzy reasoning. The fuzzy module of the proposed IFSA permanently monitors the search process and adjusts each agent's search behavior by considering the governing condition of the current problem. In structural optimization, due to construction limitations, it is more realistic to select the sizing variables from a discrete domain. Thus, in this study, to empirically evaluate the search capability of the IFSA, it is applied to solve a suite of structural optimization problems with the discrete design variables. The attained outcomes are compared with the ISA and some other related methods addressed in the relevant literature. The acquired accuracy level and demanded number of objective function evaluations indicates that the IFSA, comparatively, using lower computational cost could found lighter structural systems. Also, the comparison of the attained standard deviation values shows that the IFSA demonstrates higher stability during the optimization process. These superior outcomes designate that the fuzzy decision-making mechanism of the IFSA could work properly in dynamically adapting the search behavior of the algorithm with the governing condition of the current problem. Consequently, the promising gained results reveal that IFSA can effectively be applied in solving the structural optimization problems with discrete search domains.
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참고문헌 (25)
참고문헌 신청
Musa Artar / 2019 / Optimum design of steel space truss towers under seismic effect using Jaya algorithm / Structural Engineering and Mechanics, An Int＇l Journal 71(1):1~12
Camp, C. / 2007 / Design of space trusses using big bang-big crunch optimization / J. Struct. Eng 133(7):999~1008
Coello Coello, C. A. / 2000 / Use of a self-adaptive penalty approach for engineering optimization problems / Comput. Indus 41(2):113~127
Deng, W. / 2012 / A novel two-stage hybrid swarm intelligence optimization algorithm and application / Soft Comput 16(10):1707~1722
Dorigo, M. / 2005 / Ant colony optimization theory : A survey / Theor. Comput. Sci 344(2):243~278
Camp, C. / 2007 / Design of space trusses using big bang-big crunch optimization / J. Struct. Eng 133(7):999~1008
Coello Coello, C. A. / 2000 / Use of a self-adaptive penalty approach for engineering optimization problems / Comput. Indus 41(2):113~127
Deng, W. / 2012 / A novel two-stage hybrid swarm intelligence optimization algorithm and application / Soft Comput 16(10):1707~1722
Dorigo, M. / 2005 / Ant colony optimization theory : A survey / Theor. Comput. Sci 344(2):243~278
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