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03.01.2017 | Original Article

Reliability-based design optimization using the directional bat algorithm

Erschienen in: Neural Computing and Applications | Ausgabe 8/2018

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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 ε-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.

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Titel: Reliability-based design optimization using the directional bat algorithm
Publikationsdatum: 03.01.2017
Erschienen in: Neural Computing and Applications / Ausgabe 8/2018
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-016-2797-3

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