Conductivity Reconstruction of Brain Edema Based on Improved Adaptive Genetic Algorithm

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2008 International Conference on BioMedical Engineering and Informatics

May 27-May 30

ISBN: 978-0-7695-3118-2

	ASCII Text	x
	Jicheng Liu, Kama Huang, Yayi Hu, Qing Chen, "Conductivity Reconstruction of Brain Edema Based on Improved Adaptive Genetic Algorithm," BioMedical Engineering and Informatics, International Conference on, vol. 2, pp. 63-66, 2008 International Conference on BioMedical Engineering and Informatics, 2008.

	BibTex	x
	@article{ 10.1109/BMEI.2008.53, author = {Jicheng Liu and Kama Huang and Yayi Hu and Qing Chen}, title = {Conductivity Reconstruction of Brain Edema Based on Improved Adaptive Genetic Algorithm}, journal ={BioMedical Engineering and Informatics, International Conference on}, volume = {2}, year = {2008}, isbn = {978-0-7695-3118-2}, pages = {63-66}, doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.53}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - BioMedical Engineering and Informatics, International Conference on TI - Conductivity Reconstruction of Brain Edema Based on Improved Adaptive Genetic Algorithm SN - 978-0-7695-3118-2 SP63 EP66 A1 - Jicheng Liu, A1 - Kama Huang, A1 - Yayi Hu, A1 - Qing Chen, PY - 2008 KW - edema KW - conductivity reconstruction KW - Genetic Algorithm KW - Haiming Distance KW - operator VL - 2 JA - BioMedical Engineering and Informatics, International Conference on ER -

Jicheng Liu

Kama Huang

Yayi Hu

Qing Chen

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.53

In order to estimate the progression or regression of edema at the bedside continuously, based the theoretic model, an improved Adaptive Genetic Algorithm(AGA) has been applied in optimization of conductivity reconstruction. Dynamic crossover and mutation operators, which are based on Haiming Distance, are brought forward in this paper to maintain generation’s diversity. As a contrast, the Simple GA(SGA) has also been applied in same optimization of brain edema. It is shown the AGA not only has satisfied efficiency but also has enhanced the capability to converge to the best answer.

Index Terms:

edema, conductivity reconstruction, Genetic Algorithm, Haiming Distance, operator

Citation:

Jicheng Liu, Kama Huang, Yayi Hu, Qing Chen, "Conductivity Reconstruction of Brain Edema Based on Improved Adaptive Genetic Algorithm," bmei, vol. 2, pp.63-66, 2008 International Conference on BioMedical Engineering and Informatics, 2008

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