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Optimal Design of Marine Propellers Using Multi-Objective Evolutionary Algorithms.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimal Design of Marine Propellers Using Multi-Objective Evolutionary Algorithms./
Author:	Vihtelic, Peter Joseph.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	76 p.
Notes:	Source: Masters Abstracts International, Volume: 83-04.
Contained By:	Masters Abstracts International83-04.
Subject:	Computer engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28717758
ISBN:	9798460462353

Optimal Design of Marine Propellers Using Multi-Objective Evolutionary Algorithms.
Vihtelic, Peter Joseph.

Optimal Design of Marine Propellers Using Multi-Objective Evolutionary Algorithms. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 76 p.

Source: Masters Abstracts International, Volume: 83-04.

Thesis (M.S.)--Michigan State University, 2021.

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

Marine propeller design is defined by competing objectives. The transportation industry has a unique challenge in designing new equipment because of its constant use. Poor designs are paid for upfront and continue to cost the operator throughout the part's entire service life. Propeller design is a complex process attempting to maximize factors, minimizing others while operating within material and equipment constraints. With these considerations, marine propellers are an ideal candidate for advanced computerized optimization. The evolutionary algorithms chosen for this review are specifically designed to solve such problems. The high dimensionality of the input variables and multiple nonlinear constraints make finding feasible solutions complicated and finding an optimal set impractical without computerized methods to evaluate and compare results. The utility of evolutionary algorithms is demonstrated effectively with this analysis and review of the marine propeller design problem.

ISBN: 9798460462353Subjects--Topical Terms:

621879
Computer engineering.
Subjects--Index Terms:

Evolutionary Algorithms

Optimal Design of Marine Propellers Using Multi-Objective Evolutionary Algorithms.
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100 1 $a Vihtelic, Peter Joseph. $3 3685328
245 1 0 $a Optimal Design of Marine Propellers Using Multi-Objective Evolutionary Algorithms.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 76 p.
500 $a Source: Masters Abstracts International, Volume: 83-04.
500 $a Advisor: Deb, Kalyanmoy.
502 $a Thesis (M.S.)--Michigan State University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Marine propeller design is defined by competing objectives. The transportation industry has a unique challenge in designing new equipment because of its constant use. Poor designs are paid for upfront and continue to cost the operator throughout the part's entire service life. Propeller design is a complex process attempting to maximize factors, minimizing others while operating within material and equipment constraints. With these considerations, marine propellers are an ideal candidate for advanced computerized optimization. The evolutionary algorithms chosen for this review are specifically designed to solve such problems. The high dimensionality of the input variables and multiple nonlinear constraints make finding feasible solutions complicated and finding an optimal set impractical without computerized methods to evaluate and compare results. The utility of evolutionary algorithms is demonstrated effectively with this analysis and review of the marine propeller design problem.
590 $a School code: 0128.
650 4 $a Computer engineering. $3 621879
650 4 $a Naval engineering. $3 3173824
650 4 $a Ocean engineering. $3 660731
653 $a Evolutionary Algorithms
653 $a Marine
653 $a Propeller
653 $a Propulsor
690 $a 0464
690 $a 0468
690 $a 0547
710 2 $a Michigan State University. $b Electrical Engineering - Master of Science. $3 3172054
773 0 $t Masters Abstracts International $g 83-04.
790 $a 0128
791 $a M.S.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28717758