Multiobjective backtracking search algorithm: application to FSI
| Autor: | A. El Hami, Bouchaib Radi, R. El Maani |
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| Rok vydání: | 2018 |
| Předmět: |
Mathematical optimization
Control and Optimization Optimization problem Backtracking Computer science Sorting Evolutionary algorithm Pareto principle 02 engineering and technology 01 natural sciences Computer Graphics and Computer-Aided Design Multi-objective optimization Computer Science Applications Control and Systems Engineering Search algorithm 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Benchmark (computing) 020201 artificial intelligence & image processing 010301 acoustics Software |
| Zdroj: | Structural and Multidisciplinary Optimization. 59:131-151 |
| ISSN: | 1615-1488 1615-147X |
| DOI: | 10.1007/s00158-018-2056-6 |
| Popis: | Fluid-structure interaction (FSI) problems play an important role in many technical applications, for instance, wind turbines, aircraft, injection systems, or pumps. Thus, the optimization of such kind of problems is of high practical importance. Optimization algorithms aim to find the best values for a system’s parameters under various conditions. In this paper, we present a new Backtracking Search Optimization Algorithm for multiobjective optimization, named BSAMO, a new evolutionary algorithm (EA) for solving real-valued numerical optimization problems. EAs are popular stochastic search algorithms that are widely used to solve nonlinear, nondifferentiable and complex numerical optimization problems. In order to test the performance of this algorithm, a well known benchmark multiobjective problem has been chosen from the literature, and for FSI optimization, using a partitioned coupling procedure. The method has been tested through a 2D plate and a 3D wing subjected to aerodynamic loads. The obtained Pareto solutions are then presented and compared to those of the Non-dominated Sorting Genetic Algorithm-II (NSGA-II). The numerical results demonstrate the efficiency of BSAMO and also its best performance in tackling real-world multiphysics problems. |
| Databáze: | OpenAIRE |
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