Abstract: In order to separate individual relaxation processes and estimate the corresponding parameters, the genetic algorithm has been used [4]. The genetic algorithms belong to a wide class of optimization methods, which imitate processes taking place in nature. They are numerical procedures that utilize random choices in a highly directed search of the optimal solution. The algorithms are durable and effective in analyzing processes in very complicated solution spaces, such as the estimation of a complex TSD spectrum.

Keyword(s): EEEIC ; relaxation process ; parameter estimation ; genetic algorithm
Note: Proceedings of the 7th Int. Conference EEEIC 2008, Cottbus, 5-11.05.2008, pp. 47-48


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