Hybrid genetic algorithms for structural reliability analysis

By Jin Cheng. 2007

58 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c5b2cd249f962fbfefcd6c674cd14c1879492890

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. A. A. Chojaczyk
2. J. Cardoso
3. Luis A. C. Neves
4. Â. Teixeira
5. Carlos Soares
6. J. Mantari
7. Huu-Tai Thai
8. Trung‐Kien Nguyen

In Statistics and Probability

1. A. A. Chojaczyk
2. J. Cardoso
3. Luis A. C. Neves
4. Â. Teixeira
5. Carlos Soares

Citations in the corpus

• Review and application of Artificial Neural Networks models in reliability analysis of steel structures (2015, methodology): “When using ANN in conjunction with GA, the time of evaluation drops drastically, making GA more effective, as shown by [37], [38], [39].”