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Title:A Self -Adaptive Hybrid Genetic Algorithm for Optimal Groundwater Remediation Design
Author(s):Espinoza, Felipe Patricio
Doctoral Committee Chair(s):Minsker, Barbara S.
Department / Program:Civl and Environmental Engineering
Discipline:Civl and Environmental Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Environmental Sciences
Abstract:The application of the e-SAHGA algorithm to a hypothetical groundwater remediation design problem showed 90% reliability in identifying the solution faster than the SGA, with average savings of 64% across 100 runs with different random initial populations. Finally, e-SAHGA was tested on a field-scale remediation design problem, re-evaluation of the remediation system for Umatilla Army Depot, where it gave computational savings between 30% and 60% and, for one solution method, found a solution that was 4% better than the one found by the SGA.
Issue Date:2003
Description:152 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003.
Other Identifier(s):(MiAaPQ)AAI3101832
Date Available in IDEALS:2015-09-25
Date Deposited:2003

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