Name
Abstract | ||
|---|---|---|
Reliability-based design optimization (RBDO) problems are important in engineering applications, but it is challenging to solve such problems. In this study, a new resolution method based on the directional bat algorithm (dBA) is presented. To overcome the difficulties in the evaluations of probabilistic constraints, the reliable design space concept has been applied to convert the yielded stochastic constrained optimization problem from the RBDO formulation into a deterministic constrained optimization problem. In addition, the e-constraint handling technique has also been introduced to the dBA so that the algorithm can solve constrained optimization problem effectively. The new method has been applied to several engineering problems, and the results show that the new method can solve different varieties of RBDO problems efficiently. In fact, the obtained solutions are consistent with the best results in the literature. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s00521-016-2797-3 | Neural Computing and Applications |
Keywords | Field | DocType |
RBDO, Directional bat algorithm, Reliable design space, Constrained optimization, Swarm intelligence | Design space,Mathematical optimization,Probabilistic-based design optimization,Bat algorithm,Swarm intelligence,Artificial intelligence,Probabilistic logic,Engineering optimization,Reliability based design,Mathematics,Machine learning,Constrained optimization | Journal |
Volume | Issue | ISSN |
30 | 8 | 1433-3058 |
Citations | PageRank | References |
3 | 0.38 | 18 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Asma Chakri | 1 | 24 | 1.46 |
| Xin-She Yang | 2 | 34 | 2.59 |
| Rabia Khelif | 3 | 24 | 1.46 |
| Mohamed Benouaret | 4 | 3 | 0.38 |