Reliability-based design optimization using the directional bat algorithm
| Autor: | Xin-She Yang, Mohamed Benouaret, Rabia Khelif, Asma Chakri |
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| Rok vydání: | 2017 |
| Předmět: |
FOS: Computer and information sciences
Mathematical optimization Computer science Probabilistic logic 020101 civil engineering 90C30 68W20 02 engineering and technology Resolution (logic) 0201 civil engineering Computational Engineering Finance and Science (cs.CE) Constraint (information theory) Optimization and Control (math.OC) Artificial Intelligence FOS: Mathematics 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer Science - Computational Engineering Finance and Science Mathematics - Optimization and Control Software Bat algorithm Reliability based design |
| Zdroj: | Neural Computing and Applications. 30:2381-2402 |
| ISSN: | 1433-3058 0941-0643 |
| Popis: | 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 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. Comment: Neural Computing and Applications, 2017 |
| Databáze: | OpenAIRE |
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