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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.77 No.5
- 발행연도
- 2021.1
- 수록면
- 613 - 626 (14page)
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In this paper, an enhanced Violation-based Sensitivity analysis and Border-Line Adaptive Sliding Technique (ViS-BLAST) will be utilized for optimization of some well-known structural and mechanical engineering problems. ViS-BLAST has already been introduced by the authors for solving truss optimization problems. For those problems, this method showed a satisfactory enactment both in speed and efficiency. The Enriched ViS-BLAST or EVB is introduced to be vastly applicable to any solvable constrained optimization problem without any specific initialization. It uses one-directional step-wise searching technique and mostly limits exploration to the vicinity of FNF border and does not explore the entire design space. It first enters the feasible region very quickly and keeps the feasibility of solutions. For doing this important, EVB groups variables for specifying the desired searching directions in order to moving toward best solutions out or inside feasible domains. EVB was employed for solving seven numerical engineering design problems. Results show that for problems with tiny or even complex feasible regions with a larger number of highly non-linear constraints, EVB has a better performance compared to some records in the literature. This dominance was evaluated in terms of the feasibility of solutions, the quality of optimum objective values found and the total number of function evaluations performed.
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참고문헌 (78)
참고문헌 신청
Akbulut, M. / 2020 / An investigation of non-linear optimization methods on composite structures under vibration and buckling loads / Adv. Comput. Des 5(3):209~231
Alatas, B. / 2011 / ACROA : artificial chemical reaction optimization algorithm for global optimization / Exp. Syst. Appl 38(10):13170~13180
Alatas, B. / 2012 / A novel chemistry based metaheuristic optimization method for mining of classification rules / Exp. Syst. Appl 39(12):11080~11088
Arora, J. / 2004 / Introduction to Optimum Design / Academic Press
Askarzadeh, A. / 2016 / A novel metaheuristic method for solving constrained engineering optimization problems : Crow search algorithm / Comput. Struct. 169:1~12
Alatas, B. / 2011 / ACROA : artificial chemical reaction optimization algorithm for global optimization / Exp. Syst. Appl 38(10):13170~13180
Alatas, B. / 2012 / A novel chemistry based metaheuristic optimization method for mining of classification rules / Exp. Syst. Appl 39(12):11080~11088
Arora, J. / 2004 / Introduction to Optimum Design / Academic Press
Askarzadeh, A. / 2016 / A novel metaheuristic method for solving constrained engineering optimization problems : Crow search algorithm / Comput. Struct. 169:1~12
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