Abstract
The paper deals with an application of an hybrid particle swarm optimizer (HPSO) to identification problems. The HPSO is applied to identify complex impedances of room walls and it is based on the mechanism discovered in the nature during observations of the animals social behaviour and supplemented with some additional gradient information. The numerical example demonstrate that the method based on hybrid swarm optimization is an effective technique for computing in identification problems.
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Szczepanik, M., Poteralski, A., Ptaszny, J., Burczyński, T. (2012). Hybrid Particle Swarm Optimizer and Its Application in Identification of Room Acoustic Properties. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Swarm and Evolutionary Computation. EC SIDE 2012 2012. Lecture Notes in Computer Science, vol 7269. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29353-5_45
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DOI: https://doi.org/10.1007/978-3-642-29353-5_45
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