Discussion of “Remediation System Design with Multiple Uncertain Parameters Using Fuzzy Sets and Genetic Algorithm” by Jiabao Guan and Mustafa M. Aral
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VIEW THE ORIGINAL ARTICLEAuthors: Ram Kailash Prasad [email protected] and Shashi Mathur [email protected]Author Affiliations
Publication: Journal of Hydrologic Engineering
Volume 12, Issue 1
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References
Bedient, P. B., Rifai, H. S., and Newell, C. J. (1999). Groundwater contamination: Transport and remediation, Prentice-Hall, Inc., Upper Saddle River, N.J.
Deb, K. (2001). Multi-objective optimization using evolutionary algorithms, Wiley, Singapore.
Dou, C., Woldt, W., Bogardi, I., and Dahab, M. (1997). “Numerical solute transport simulation using fuzzy sets approach.” J. Contam. Hydrol., 27, 107–126.
Gordon, E., Shamir, U., and Bensabat, J. (2001). “Optimal extraction of water from regional aquifer under salinization.” J. Water Resour. Plann. Manage., 127(2), 71–77.
Guan, J., and Aral, M. M. (2004). “Optimal design of groundwater remediation systems using fuzzy set theory.” Water Resour. Res., 40.
Revelli, R., and Ridolfi, L. (2002). “Fuzzy approach for analysis of pipe networks.” J. Hydraul. Eng., 128(1), 93–101.
Ross, T. J. (1995). Fuzzy logic with engineering applications, McGraw-Hill, New York.
Willis, R., and Yeh, W.-G. (1987). Groundwater systems planning and management, Prentice-Hall, Englewood Cliffs, N.J.
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Published In
Journal of Hydrologic Engineering
Volume 12 • Issue 1 • January 2007
Pages: 134 - 135
Copyright
© 2007 ASCE.
History
Published online: Jan 1, 2007
Published in print: Jan 2007
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Graduate Student, Dept. of Civil Engineering, Indian Institute of Technology, Hauz Khas, New Delhi-110016. E-mail: [email protected]
Professor, Dept. of Civil Engineering, Indian Institute of Technology, Hauz Khas, New Delhi-110016. E-mail: [email protected]
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