@misc{Lipnicka_Marta_Genetic_2017, author={Lipnicka, Marta and Szulc, Katarzyna and Żochowski, Antoni}, copyright={Creative Commons Attribution BY 4.0 license}, address={Warszawa}, journal={Raport Badawczy = Research Report}, howpublished={online}, year={2017}, publisher={Instytut Badań Systemowych. Polska Akademia Nauk}, publisher={Systems Research Institute. Polish Academy of Sciences}, language={eng}, abstract={This article compares two methods based on genetic algorithm and neural network for finding the location of small holes in the domain, in which the coupled boundary value problem is defined. The initial domain consists of two components, linear and nonlinear, connected by the transmission conditions defined at the interface boundary. Both methods: genetic algorithm and neural network calculate the location of one, two or three holes located somewhere in the linear part of the domain based on imput data coming from the exterior part of the domain.}, title={Genetic algorithm and neural network methods for inverse problems of coupled models using topological derivative}, type={Text}, URL={http://www.rcin.org.pl/Content/144792/PDF/RB-2017-30.pdf}, keywords={Sieci neuronowe, Optymalizacja kształtu, Shape optimization, Topological derivative, Pochodna topologiczna, Neural networks}, }