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Application of heuristic optimizatio...

Matott, Loren Shawn.

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Application of heuristic optimization to groundwater management .

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Application of heuristic optimization to groundwater management ./
Author:	Matott, Loren Shawn.
Description:	186 p.
Notes:	Adviser: Alan J. Rabideau.
Contained By:	Dissertation Abstracts International67-11B.
Subject:	Biogeochemistry. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3244208
ISBN:	9780542997624

Application of heuristic optimization to groundwater management .
Matott, Loren Shawn.

Application of heuristic optimization to groundwater management . - 186 p.

Adviser: Alan J. Rabideau.

Thesis (Ph.D.)--State University of New York at Buffalo, 2006.

Subsurface flow and contaminant transport models are often used in solving groundwater management problems. Automated optimization involving such models is becoming commonplace, and researchers are increasingly encountering problems for which standard gradient-based search algorithms are inadequate. Such cases have motivated an interest in the use of more robust, but computationally expensive, heuristic algorithms.

ISBN: 9780542997624Subjects--Topical Terms:

545717
Biogeochemistry.

Application of heuristic optimization to groundwater management .
LDR:02574nam 2200313 a 45 001 971967
005 20110927
008 110927s2006 eng d
020 $a 9780542997624
035 $a (UnM)AAI3244208
035 $a AAI3244208
040 $a UnM $c UnM
100 1 $a Matott, Loren Shawn. $3 1295990
245 1 0 $a Application of heuristic optimization to groundwater management .
300 $a 186 p.
500 $a Adviser: Alan J. Rabideau.
500 $a Source: Dissertation Abstracts International, Volume: 67-11, Section: B, page: 6652.
502 $a Thesis (Ph.D.)--State University of New York at Buffalo, 2006.
520 $a Subsurface flow and contaminant transport models are often used in solving groundwater management problems. Automated optimization involving such models is becoming commonplace, and researchers are increasingly encountering problems for which standard gradient-based search algorithms are inadequate. Such cases have motivated an interest in the use of more robust, but computationally expensive, heuristic algorithms.
520 $a The research reported in this dissertation advances the state-of-practice of heuristic optimization in groundwater management by applying a variety of heuristic methods to three groundwater management problems: (1) optimization of pump-and-treat containment systems, (2) optimization of multi-layered sorptive barrier systems, and (3) calibration of reactive transport models involving nitrate contamination. These studies were facilitated by the development of a new open source software package for model-independent multi-algorithm optimization, which includes special tools for calibration and model ranking and selection.
520 $a Overall, the optimization studies make several important research contributions by (1) suggesting methods and guidelines for the effective selection and use of heuristic algorithms, (2) investigating techniques for reducing the computational demand associated with heuristic algorithms, (3) providing general insight into the behavior of the selected problems, (4) utilizing modeling techniques, remediation constraints, and/or parameter representations not previously applied to the selected problems, and (5) introducing a novel optimization software package to the research community.
590 $a School code: 0656.
650 4 $a Biogeochemistry. $3 545717
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Environmental. $3 783782
690 $a 0425
690 $a 0775
690 $a 0984
710 2 0 $a State University of New York at Buffalo. $3 1017814
773 0 $t Dissertation Abstracts International $g 67-11B.
790 $a 0656
790 1 0 $a Rabideau, Alan J., $e advisor
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3244208