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Title

A HYBRID OPTIMIZATION ALGORITHM FOR THE OPTIMAL DESIGN OF LATERALLY-SUPPORTED CASTELLATED BEAMS

Writers

 KAVEH A. | SHOKOHI F.

Pages

 Start Page 508 | End Page 519

Keywords

COLLIDING BODIES OPTIMIZATION (CBO) 
PARTICLE SWARM OPTIMIZATION (PSO) 

Abstract

 In this paper a hybrid method is developed for OPTIMUM DESIGN OF CASTELLATED BEAMS by combining two meta-heuristic algorithms, namely the colliding bodies optimization (CBO) and particle swarm optimization (PSO). In this hybrid algorithm (CBO-PSO), positive features of PSO are added to the CBO. Two common types of laterally supported castellated beams are considered as design problems: beams with hexagonal openings and beams with circular openings. These beams have found widespread usage in buildings because of great savings in materials and construction costs. Here, the minimum cost is taken as the design objective function and the new hybrid method is utilized for obtaining the solution of some benchmark problems. Comparison of the results of the CBO-PSO with those of some other metaheuristics demonstrates the capability of the presented optimization algorithm. For most of the examples, the results obtained by the CBO-PSO have less cost in comparison to those of the other considered methods. It is also concluded that the beams with hexagonal openings require smaller amount of steel, hence being superior to the beams with cellular openings.

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