Effects of Local Search Algorithms on Groundwater Remediation Optimization Using a Self-Adaptive Hybrid Genetic Algorithm-Reference-Cited by-同舟云学术

Effects of Local Search Algorithms on Groundwater Remediation Optimization Using a Self-Adaptive Hybrid Genetic Algorithm

Published:2006-11 Issue:6 Volume:20 Page:420-430
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Espinoza Felipe P.¹²,Minsker Barbara S.¹²

Affiliation:

1. Research Assistant, Univ. of Illinois, Urbana, IL 61801; presently, NRC Post-Doctoral Research Associate, EPA Cincinnati, 26 W Martin Luther King Dr., Cincinnati, OH 45264 (corresponding author).

2. Associate Professor, Dept. of Civil and Environmental Engineering, 3230D NCEL, MC-250, 205 North Mathews Ave., Univ. of Illinois, Urbana, IL 61801.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290887-3801%282006%2920%3A6%28420%29

Reference41 articles.

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

2. Optimal design of aquifer cleanup systems under uncertainty using a neural network and a genetic algorithm

3. Handbook of Evolutionary Computation

4. Optimization of pump-treat-inject (PTI) design for the remediation of a contaminated aquifer: multi-stage design with chance constraints

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