|
Read Full Article Cited by
WATER RESOURCES RESEARCH,
VOL. 35, NO. 8,
PAGES 2415–2425,
1999
Comparison of a Genetic Algorithm and Mathematical Programming to the Design of Groundwater Cleanup Systems
Alaa H. Aly
Utah State University Research Foundation, Logan
Richard C. Peralta
Department of Biological and Irrigation Engineering, Utah State University, Logan
Abstract
We present and apply a new simulation/optimization approach for single- and multiple-planning period problems in groundwater
remediation. Instead of the traditional control locations for contaminant concentrations, we use an L ∞ norm as a global measure of aquifer contamination (CMAX). We use response-surface constraints to represent CMAX within
the optimization model. We compare the performance of formal mixed integer nonlinear programming and a genetic algorithm
for several optimization scenarios.
Received 19
March
1998;
accepted 23
December
1998.
Read Full Article Cited by
Citation: Aly, A. H., and R. C. Peralta
(1999),
Comparison of a Genetic Algorithm and Mathematical Programming to the Design of Groundwater Cleanup Systems,
Water Resour. Res.,
35(8),
2415–2425.
Copyright 1999 by the American Geophysical Union.
|