Genetic Algorithms Optimized Fuzzy Logic Control to Support the Generation of Lightning Warnings-Reference-Cited by-同舟云学术

Genetic Algorithms Optimized Fuzzy Logic Control to Support the Generation of Lightning Warnings

Published:2013-11-23 Issue:1 Volume:25 Page:32-45
ISSN:2195-3880
Container-title:Journal of Control, Automation and Electrical Systems
language:en
Short-container-title:J Control Autom Electr Syst

Author:

Igarashi Adriel Y. S.,Leandro Gideon V.,Oliveira Gustavo H. C.,Leite Eduardo A.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications,Energy Engineering and Power Technology,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s40313-013-0090-6.pdf

Reference29 articles.

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2. Arslan, A., & Kaya, M. (2001). Determination of fuzzy logic relevance functions using genetic algorithms. Fuzzy Sets and Systems, 118(2), 297–306.

3. Beasley, W. H., Megan, M. L., Leon, G. B., Edward, R. M., Jabrzemski, R., Conway, J. W., & Eillts, M. D. (2005). On the need for electric field meters to support critical lightning hazard warning decision processes. Conference on meteorological applications of lightning data.

4. Cardoso, I. (2011). Os Números de Mortes por Raios no Brasil. Scientific American, Brasil, pp 42–45, July (in Portuguese).

5. Dudhia, J., Gill, D., Guo, Y. R., Manning, K., Bourgeois, A., Wang, W., Bruyere, C., Wilson, J., & Kelly, S. (2002). PSU/NCAR Mesoscale Modeling System. MM5 Modeling System Version 3. NCAR Technical Notes.

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