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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.53 No.5
- 발행연도
- 2015.1
- 수록면
- 847 - 865 (19page)
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초록· 키워드
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This paper presents the application of a recently developed meta-heuristic algorithm, called Colliding Bodies Optimization (CBO), for size and topology optimization of steel trusses. This method is based on the one-dimensional collisions between two bodies, where each agent solution is considered as a body. The performance of the proposed algorithm is investigated through four benchmark trusses for minimum weight with static and dynamic constraints. A comparison of the numerical results of the CBO with those of other available algorithms indicates that the proposed technique is capable of locatingpromising solutions using lesser or identical computational effort, with no need for internal parameter tuning.
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참고문헌 (17)
참고문헌 신청
Deb, K. / 2001 / Design of truss-structures for minimum weight using genetic algorithms / Finite Elem. Anal. Des 37(5):447~465
Dorigo, M. / 1996 / The ant system: optimization by a colony of cooperating agents / IEEE Tran. Syst. Man Cybern. B 26(1):29~41
Eberhart, R.C. / 1995 / A new optimizer using particle swarm theory / Proceedings of the 6th International Symposium on Micro Machine and Human Ccience
Erol, O.K. / 2006 / New optimization method: Big Bang-Big Crunch / Adv. Eng. Softw 37(2):106~111
Eskandar, H. / 2012 / Water cycle algorithm - a novel metaheuristic optimization method for solving constrained engineering optimization problems / Comput. Struct 110(111):151~166
Dorigo, M. / 1996 / The ant system: optimization by a colony of cooperating agents / IEEE Tran. Syst. Man Cybern. B 26(1):29~41
Eberhart, R.C. / 1995 / A new optimizer using particle swarm theory / Proceedings of the 6th International Symposium on Micro Machine and Human Ccience
Erol, O.K. / 2006 / New optimization method: Big Bang-Big Crunch / Adv. Eng. Softw 37(2):106~111
Eskandar, H. / 2012 / Water cycle algorithm - a novel metaheuristic optimization method for solving constrained engineering optimization problems / Comput. Struct 110(111):151~166
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