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Optimal Ship Maintenance Scheduling ...

Nguyen, Vi Hong.

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Optimal Ship Maintenance Scheduling Under Restricted Conditions and Constrained Resources.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimal Ship Maintenance Scheduling Under Restricted Conditions and Constrained Resources./
Author:	Nguyen, Vi Hong.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	126 p.
Notes:	Source: Dissertation Abstracts International, Volume: 78-12(E), Section: B.
Contained By:	Dissertation Abstracts International78-12B(E).
Subject:	Mechanical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10272341
ISBN:	9780355082340

Optimal Ship Maintenance Scheduling Under Restricted Conditions and Constrained Resources.
Nguyen, Vi Hong.

Optimal Ship Maintenance Scheduling Under Restricted Conditions and Constrained Resources. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 126 p.

Source: Dissertation Abstracts International, Volume: 78-12(E), Section: B.

Thesis (Ph.D.)--Old Dominion University, 2017.

The research presented in this dissertation addresses the application of evolution algorithms, i.e. Genetic Algorithm (GA) and Differential Evolution algorithm (DE) to scheduling problems in the presence of restricted conditions and resource limitations. This research is motivated by the scheduling of engineering design tasks in shop scheduling problems and ship maintenance scheduling problems to minimize total completion time. The thesis consists of two major parts; the first corresponds to the first appended paper and deals with the computational complexity of mixed shop scheduling problems. A modified Genetic algorithm is proposed to solve the problem. Computational experiments, conducted to evaluate its performance against known optimal solutions for different sized problems, show its superiority in computation time and the high applicability in practical mixed shop scheduling problems. The second part considers the major theme in the second appended paper and is related to the ship maintenance scheduling problem and the extended research on the multi-mode resource-constrained ship scheduling problem. A heuristic Differential Evolution is developed and applied to solve these problems. A mathematical optimization model is also formulated for the multi-mode resource-constrained ship scheduling problem. Through the computed results, DE proves its effectiveness and efficiency in addressing both single and multi-objective ship maintenance scheduling problems.

ISBN: 9780355082340Subjects--Topical Terms:

649730
Mechanical engineering.

Optimal Ship Maintenance Scheduling Under Restricted Conditions and Constrained Resources.
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245 1 0 $a Optimal Ship Maintenance Scheduling Under Restricted Conditions and Constrained Resources.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 126 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-12(E), Section: B.
500 $a Adviser: Han P. Bao.
502 $a Thesis (Ph.D.)--Old Dominion University, 2017.
520 $a The research presented in this dissertation addresses the application of evolution algorithms, i.e. Genetic Algorithm (GA) and Differential Evolution algorithm (DE) to scheduling problems in the presence of restricted conditions and resource limitations. This research is motivated by the scheduling of engineering design tasks in shop scheduling problems and ship maintenance scheduling problems to minimize total completion time. The thesis consists of two major parts; the first corresponds to the first appended paper and deals with the computational complexity of mixed shop scheduling problems. A modified Genetic algorithm is proposed to solve the problem. Computational experiments, conducted to evaluate its performance against known optimal solutions for different sized problems, show its superiority in computation time and the high applicability in practical mixed shop scheduling problems. The second part considers the major theme in the second appended paper and is related to the ship maintenance scheduling problem and the extended research on the multi-mode resource-constrained ship scheduling problem. A heuristic Differential Evolution is developed and applied to solve these problems. A mathematical optimization model is also formulated for the multi-mode resource-constrained ship scheduling problem. Through the computed results, DE proves its effectiveness and efficiency in addressing both single and multi-objective ship maintenance scheduling problems.
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650 4 $a Naval engineering. $3 3173824
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