Numerical simulation of transonic flows by a flexible and parallel evolutionary computation

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Abstract

In this work we propose a Flexible and Parallel Evolutionary Computation to solve a problem of Aeronautic interest, which is the non-linear full potential flow problem inside a nozzle. As the target to verify a numerical scheme for nodal points is equivalent to minimize a corresponding objective function, our methodology consists in using Evolutionary Algorithms as a numerical simulation method. Moreover, as Parallel Evolutionary Algorithms are demanded for an effective reduction of computation time, an Island or Coarse-Grained Parallel model is considered. The methodology proposed opens the possibility to solve the problem from a more local point of view as domain decomposition and permits to incorporate easily theoretical mathematical foundations of the problem. These are powerful characteristics of the method. © 2009 Springer-Verlag Berlin Heidelberg.

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Winter, G., Gonzàlez, B., Galvàn, B., & Carmona, H. (2009). Numerical simulation of transonic flows by a flexible and parallel evolutionary computation. In Lecture Notes in Computational Science and Engineering (Vol. 67 LNCSE, pp. 433–440). https://doi.org/10.1007/978-3-540-92744-0_54

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