MULTI-OBJECTIVE OPTIMUM DESIGN OF R/C FRAMES USING GENETIC ALGORITHMS
DOI:
https://doi.org/10.18867/ris.99.484Abstract
The application of multi-objective genetic algorithms for the seismic design of reinforced concrete frames is illustrated considering two objectives simultaneously. While the first objective of this study is to control the maximum inter-story drift, the second is to minimize the total cost of the frame. For this aim, the seismic effect is simulated through lateral forces for the analysis of the frames. To achieve a satisfactory seismic design, this work suggests the use of multi-objective evolutionary algorithms named Non-Dominated Sorting Genetic Algorithm (NSGA-II). The results suggest that genetic algorithm is a very useful tool for structural optimization; moreover, the designed frame buildings obtained are satisfactory in terms of seismic performance and economy.Downloads
References
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