(Enter summary)
Abstract: . The solution of a multiobjective multidisciplinary
design optimization (MDO) using a genetic algorithm
(GA) is considered. The objective functions in the
optimization problem measure the aerodynamic feasibility
based on the drag and lift coefficients and the electromagnetic
feasibility based on the backscatter of the
two-dimensional airfoil designs. The flow and backscatter
are modeled by the thin-layer Navier--Stokes equations
and the time-harmonic Maxwell equations, respectively.
Numerical... (Update)
Context of citations to this paper: More
...new approach has not been extensively tested yet, but it certainly looks promising. 4.4. 2 Sample Applications Airfoil shape optimization [43]. Scheduling [2] Minimum spanning tree [73] 4.5 NPGA Horn et al. 38] proposed the Niched Pareto Genetic Algorithm, which uses a...
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BibTeX entry: (Update)
R. Makinen, P. Neittaanmaki, J. Periaux, and J. Toivanen. A genetic Algorithm for Multiobjective Design Optimization in Aerodynamics and Electromagnetics. In K. D. Papailiou et al., editor, Computational Fluid Dynamics '98, Proceedings of the ECCOMAS 98 Conference, volume 2, pages 418-422, Athens, Greece, September 1998. Wiley. http://citeseer.ist.psu.edu/akinen98genetic.html More
@inproceedings{ kinen98genetic,
author = "R. M{\"a}kinen and P. Neittaanm{\"a}ki and J. P\'{e}riaux and J. Toivanen",
title = "A Genetic {A}lgorithm for {M}ultiobjective {D}esign {O}ptimization in {A}erodynamics and {E}lectromagnetics",
booktitle = "Computational Fluid Dynamics '98, Proceedings of the {ECCOMAS} 98 Conference",
volume = "2",
publisher = "Wiley",
address = "Athens, Greece",
editor = "K. D. Papailiou et al.",
pages = "418--422",
year = "1998",
url = "citeseer.ist.psu.edu/akinen98genetic.html" }
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