Format: HTML | BibTeX | DC | EndNote | NLM | MARC | MARCXML
000000175 001__ 175
000000175 037__ $$aENY-ARTICLE-2008-137
000000175 041__ $$aeng
000000175 100__ $$aRezmer, J$$uWroclaw University of Technology
000000175 245__ $$aThe genetic algorithm using to the analysis of thermally stimulated currents spectrum
000000175 260__ $$c2008-04-06
000000175 300__ $$a2p
000000175 500__ $$aProceedings of the 7th Int. Conference EEEIC 2008, Cottbus, 5-11.05.2008, pp. 47-48
000000175 520__ $$aIn order to separate individual relaxation processes and estimate the corresponding parameters, the genetic algorithm has been used [4]. The genetic algorithms belong to a wide class of optimization methods, which imitate processes taking place in nature. They are numerical procedures that utilize random choices in a highly directed search of the optimal solution. The algorithms are durable and effective in analyzing processes in very complicated solution spaces, such as the estimation of a complex TSD spectrum.
000000175 6531_ $$aEEEIC
000000175 6531_ $$arelaxation process
000000175 6531_ $$aparameter estimation
000000175 6531_ $$agenetic algorithm
000000175 700__ $$aGubanski, A$$uWroclaw University of Technology
000000175 700__ $$aWrobel, J M$$uDepartment of Physics, University of Missouri - KC, Kansas City, MO 64110, USA
000000175 8560_ $$fzbigniew.leonowicz@pwr.wroc.pl
000000175 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/175/files/$$zAccess to Fulltext
000000175 909CO $$ooai:zet10.pwr.wroc.pl:175$$pglobal
000000175 980__ $$aARTICLE