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The Weapon Target Assignment Problem Under Uncertainty.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The Weapon Target Assignment Problem Under Uncertainty./
作者:	Park, Jungho.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	118 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Contained By:	Dissertations Abstracts International83-02B.
標題:	Engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28644245
ISBN:	9798538128327

The Weapon Target Assignment Problem Under Uncertainty.
Park, Jungho.

The Weapon Target Assignment Problem Under Uncertainty. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 118 p.

Source: Dissertations Abstracts International, Volume: 83-02, Section: B.

Thesis (Ph.D.)--George Mason University, 2021.

This item must not be sold to any third party vendors.

The weapon target assignment problem (WTAP) is the problem of assigning a set of weapons and munitions to target with the goal of minimizing the enemy threat. In its simplest form, WTAP can be formulated as a non-linear integer program and has been shown to be NP-complete. The literature on WTAP mainly studies the problem under deterministic parameters. In reality, however, most of the information about military operation is based on data from training, test, exercise, historical events, and personal experience, which adds uncertainty to parameters that are relevant to WTAP. For instance, it is not always possible to estimate, with 100% certainty, target information, location, and weapon effectiveness on specific targets. Such uncertainty poses challenges to military commanders and, as such, it is of utmost importance to embed such uncertainty in their decision-making framework. Another problem that is understudied in the literature is that of WTAP in the context of sequential decisions. In this setting, it might be beneficial to strike enemy targets in batches. However, in this case, earlier strikes negatively effect information availability for future strikes as remaining target and/or targets that failed to be destroyed scramble and camouflage. Taking this uncertainty into account leads to difficult multi-stage WTAPs.

ISBN: 9798538128327Subjects--Topical Terms:

586835
Engineering.
Subjects--Index Terms:

Benders-like decomposition

The Weapon Target Assignment Problem Under Uncertainty.
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245 1 4 $a The Weapon Target Assignment Problem Under Uncertainty.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 118 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
500 $a Advisor: El-Amine, Hadi.
502 $a Thesis (Ph.D.)--George Mason University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a The weapon target assignment problem (WTAP) is the problem of assigning a set of weapons and munitions to target with the goal of minimizing the enemy threat. In its simplest form, WTAP can be formulated as a non-linear integer program and has been shown to be NP-complete. The literature on WTAP mainly studies the problem under deterministic parameters. In reality, however, most of the information about military operation is based on data from training, test, exercise, historical events, and personal experience, which adds uncertainty to parameters that are relevant to WTAP. For instance, it is not always possible to estimate, with 100% certainty, target information, location, and weapon effectiveness on specific targets. Such uncertainty poses challenges to military commanders and, as such, it is of utmost importance to embed such uncertainty in their decision-making framework. Another problem that is understudied in the literature is that of WTAP in the context of sequential decisions. In this setting, it might be beneficial to strike enemy targets in batches. However, in this case, earlier strikes negatively effect information availability for future strikes as remaining target and/or targets that failed to be destroyed scramble and camouflage. Taking this uncertainty into account leads to difficult multi-stage WTAPs.
590 $a School code: 0883.
650 4 $a Engineering. $3 586835
650 4 $a Computer engineering. $3 621879
650 4 $a Military strategy. $3 3682739
650 4 $a Military studies. $3 2197382
650 4 $a Decision making. $3 517204
650 4 $a Military weapons. $3 3299962
650 4 $a Monte Carlo simulation. $3 3564916
650 4 $a Assignment problem. $3 3682740
650 4 $a Optimization. $3 891104
650 4 $a Weapons. $3 3501544
650 4 $a Dissertations & theses. $3 3560115
650 4 $a Decomposition. $3 3561186
650 4 $a Approximation. $3 3560410
650 4 $a Military supplies. $3 3682741
650 4 $a Literature reviews. $3 3559998
650 4 $a Algorithms. $3 536374
650 4 $a Performance evaluation. $3 3562292
650 4 $a Heuristic. $3 568476
653 $a Benders-like decomposition
653 $a Integer programming
653 $a Interval minimax regret
653 $a Robust optimization
653 $a Weapon target assignment problem
690 $a 0537
690 $a 0464
690 $a 0750
710 2 $a George Mason University. $b Systems Engineering and Operations Research. $3 3682738
773 0 $t Dissertations Abstracts International $g 83-02B.
790 $a 0883
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28644245