Multiobjective Groundwater Remediation System Design Using Coupled Finite-Element Model and Nondominated Sorting Genetic Algorithm II-Reference-Cited by-同舟云学术

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Multiobjective Groundwater Remediation System Design Using Coupled Finite-Element Model and Nondominated Sorting Genetic Algorithm II

Published:2010-05 Issue:5 Volume:15 Page:350-359
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Mondal Arpita¹²³,Eldho T. I.¹²³,Rao V. V. S. Gurunadha¹²³

Affiliation:

1. Former Graduate Student, Dept. of Civil Engineering, Indian Institute of Technology (IIT) Bombay, Mumbai 400076, India.

2. Professor, Dept. of Civil Engineering, Indian Institute of Technology (IIT) Bombay, Mumbai 400076, India (corresponding author).

3. Deputy Director, National Geographical Research Institute, Hyderabad 500007, India.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0000198

Reference32 articles.

1. Beckford O. and Hilton A. B. C. (2004). “Comparing formulations for multi-objective groundwater remediation design under uncertainty.” Proc. ASCE EWRI 2004 World Water and Environmental Resources Congress ASCE Salt Lake City.

2. Beckford O. Hilton A. B. C. and Liu X. (2003). “Development of an enhanced multiobjective robust genetic algorithm for groundwater remediation design under uncertainty.” Proc. ASCE EWRI 2003 World Water and Environmental Resources Congress ASCE Philadelphia.

3. Evolutionary multi-objective optimization: a historical view of the field

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