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- 저자 : Mehmet Polat Saka (검색결과 2 건)
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An improved particle swarm optimizer for steel grillage systems
Erdal, Ferhat,Dogan, Erkan,Saka, Mehmet Polat Techno-Press 2013 Structural Engineering and Mechanics, An Int'l Jou Vol.47 No.4
In this paper, an improved version of particle swarm optimization based optimum design algorithm (IPSO) is presented for the steel grillage systems. The optimum design problem is formulated considering the provisions of American Institute of Steel Construction concerning Load and Resistance Factor Design. The optimum design algorithm selects the appropriate W-sections for the beams of the grillage system such that the design constraints are satisfied and the grillage weight is the minimum. When an improved version of the technique is extended to be implemented, the related results and convergence performance prove to be better than the simple particle swarm optimization algorithm and some other metaheuristic optimization techniques. The efficiency of different inertia weight parameters of the proposed algorithm is also numerically investigated considering a number of numerical grillage system examples.
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An improved particle swarm optimizer for steel grillage systems
Ferhat Erdal,Erkan Doğan,Mehmet Polat Saka 국제구조공학회 2013 Structural Engineering and Mechanics, An Int'l Jou Vol.47 No.4
In this paper, an improved version of particle swarm optimization based optimum design algorithm (IPSO) is presented for the steel grillage systems. The optimum design problem is formulated considering the provisions of American Institute of Steel Construction concerning Load and Resistance Factor Design. The optimum design algorithm selects the appropriate W-sections for the beams of the grillage system such that the design constraints are satisfied and the grillage weight is the minimum. When an improved version of the technique is extended to be implemented, the related results and convergence performance prove to be better than the simple particle swarm optimization algorithm and some other metaheuristic optimization techniques. The efficiency of different inertia weight parameters of the proposed algorithm is also numerically investigated considering a number of numerical grillage system examples.
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