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Measuring Conflict Among Objective F...

University of Washington., Quantitative Ecology and Resource Management.

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Measuring Conflict Among Objective Functions in Multi-Objective Optimization.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Measuring Conflict Among Objective Functions in Multi-Objective Optimization./
Author:	Kullman, Nicholas D. C.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:	64 p.
Notes:	Source: Masters Abstracts International, Volume: 56-02.
Contained By:	Masters Abstracts International56-02(E).
Subject:	Operations research. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10248766
ISBN:	9781369545630

Measuring Conflict Among Objective Functions in Multi-Objective Optimization.
Kullman, Nicholas D. C.

Measuring Conflict Among Objective Functions in Multi-Objective Optimization. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 64 p.

Source: Masters Abstracts International, Volume: 56-02.

Thesis (M.S.)--University of Washington, 2016.

We present a process to measure the conflict among objective functions within and across multi-objective systems. To do so, we introduce a new metric to quantify pairwise objective conflict. We also demonstrate new applications for two existing measures of conflict from evolutionary multi-objective optimization (EMO).

ISBN: 9781369545630Subjects--Topical Terms:

547123
Operations research.

Measuring Conflict Among Objective Functions in Multi-Objective Optimization.
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245 1 0 $a Measuring Conflict Among Objective Functions in Multi-Objective Optimization.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2016
300 $a 64 p.
500 $a Source: Masters Abstracts International, Volume: 56-02.
500 $a Adviser: Sandor F. Toth.
502 $a Thesis (M.S.)--University of Washington, 2016.
520 $a We present a process to measure the conflict among objective functions within and across multi-objective systems. To do so, we introduce a new metric to quantify pairwise objective conflict. We also demonstrate new applications for two existing measures of conflict from evolutionary multi-objective optimization (EMO).
520 $a To demonstrate this quantification of conflict and the utility of our proposed pairwise objective conflict measure we perform a case study of the impact of climate change on the joint provision of ecosystem services in the Deschutes National Forest. For three climate scenarios, we quantify the total amount of conflict in the multi-objective system. We also compare the conflict across climate scenarios. We find that climate change impacts both the individual and joint provision of ecosystem services and that system conflict increases with increasing climate change severity.
520 $a The case study demonstrates that our proposed process and new conflict metric successfully quantify and differentiate the amount of conflict within and across multi-objective systems and that they stand to serve as a useful tool for multi-objective decision making.
590 $a School code: 0250.
650 4 $a Operations research. $3 547123
650 4 $a Climate change. $2 bicssc $3 2079509
650 4 $a Forestry. $3 895157
690 $a 0796
690 $a 0404
690 $a 0478
710 2 $a University of Washington. $b Quantitative Ecology and Resource Management. $3 3175438
773 0 $t Masters Abstracts International $g 56-02(E).
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791 $a M.S.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10248766