Optimum Design of Reinforced Concrete Frames using Particle Swarm Optimization According ACI318-08
Keywords:
Optimum design, Reinforced concrete frames, Particle swarm optimizationAbstract
This research presents the application of particle swarm optimization (PSO) to design the reinforced concrete frames according ACI318-08 and determine the minimum cost of reinforced concrete structure. Structural analysis and design procedure were developed by Microsoft visual basic 6. Then, the design performance of PSO was tested by three examples from the related literature. The optimal solution of PSO is compared with heuristic big bang-big crunch (HBB-BC) and heuristic particle swarm ant colony optimization (HPSACO). The results indicated that the PSO can be applied with optimal design of reinforced concrete frames according ACI318-08 and had more saving cost than HPSACO and HBB-BC between 0.28 -7.31% and 0.28- 5.02%, respectively.
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