Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
511761 | Computers & Structures | 2009 | 10 Pages |
Abstract
A hybrid simplex artificial bee colony algorithm (HSABCA) which combines Nelder–Mead simplex method with artificial bee colony algorithm (ABCA) is proposed for inverse analysis problems. The proposed algorithm is applied to parameter identification of concrete dam-foundation systems. To verify the performance of HSABCA, it is compared with the basic ABCA and a real coded genetic algorithm (RCGA) on two examples: a gravity dam and an arc dam. Results show that the proposed algorithm is an efficient tool for inverse analysis and it performs much better than ABCA and RCGA on such problems.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Fei Kang, Junjie Li, Qing Xu,