An introduction to genetic algorithms
An introduction to genetic algorithms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Structural and Multidisciplinary Optimization
Hi-index | 0.00 |
A systematic methodology is proposed for determining the optimal cross-sectional areas of buckling restrained braces used for the seismic upgrading of structures against severe earthquakes. Single-objective and multi-objective optimization problems are formulated. The objective for the former is cost and those for the latter are cost and damage. The constraint is the minimum structural performance required. A genetic algorithm is employed to solve both types of problem. Performance is estimated by conducting nonlinear dynamic analysis. A preliminary procedure based on static analysis is adopted to improve the search efficiency. Both approaches are applied to the strengthening of a multi-storey frame.