Groundwater Remediation Design Using Multiscale Genetic Algorithms

Author:

Babbar Meghna12,Minsker Barbara S.12

Affiliation:

1. Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana Champaign, Urbana, IL 61801.

2. Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana Champaign, Urbana, IL 61801.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Reference33 articles.

1. Effect of Sorption Assumptions on Aquifer Remediation Designs

2. Albert L. A. and Goldberg D. E. (2001). “Efficient evaluation genetic algorithms under fitness functions.” IlliGAL Rep. 2001024 ⟨http://www-illigal.ge.uiuc.edu/techreps.php3⟩.

3. Comparison of a genetic algorithm and mathematical programming to the design of groundwater cleanup systems

4. Arian E. and Ta’asan S. (1994). “Multigrid one shot methods for optimal control problems: Infinite dimensional control.” NASA CR-194939 ICASE Rep. 94–52.

5. Becker D. (2006). “Reducing long-term remedial costs by transport modeling optimization.” Ground WaterGRWAAP0017-467X in press.

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