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Application of Genetic Algorithm Opt...

ProQuest Information and Learning Co.

Application of Genetic Algorithm Optimization of Thermodynamic Fluids Designs.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Application of Genetic Algorithm Optimization of Thermodynamic Fluids Designs./
作者:	Yobby, Jason.
面頁冊數:	1 online resource (63 pages)
附註:	Source: Masters Abstracts International, Volume: 57-01.
標題:	Mechanical engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780355357325

Application of Genetic Algorithm Optimization of Thermodynamic Fluids Designs.
Yobby, Jason.

Application of Genetic Algorithm Optimization of Thermodynamic Fluids Designs. - 1 online resource (63 pages)

Source: Masters Abstracts International, Volume: 57-01.

Thesis (M.S.)--Southern Illinois University at Edwardsville, 2017.

Includes bibliographical references

Several engineering problems exist that require optimization. Most design cases on paper are usually one or two dimensional and are used in theoretical approaches to design problems. Here, the genetic algorithm based optimization will be applied to real world thermo-fluidic applications, optimization of cooling fin parameters for an internal combustion engine and dollar cost optimization of a high bypass ratio turbofan engine component improvements with specified flight constraints. The time study of the optimization of the second case is also presented to show the significant reduction of computation time from other methods when high degrees of freedom are required in computations.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355357325Subjects--Topical Terms:

557493
Mechanical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Application of Genetic Algorithm Optimization of Thermodynamic Fluids Designs.
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100 1 $a Yobby, Jason. $3 1187607
245 1 0 $a Application of Genetic Algorithm Optimization of Thermodynamic Fluids Designs.
264 0 $c 2017
300 $a 1 online resource (63 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 57-01.
500 $a Adviser: Terry X. Yan.
502 $a Thesis (M.S.)--Southern Illinois University at Edwardsville, 2017.
504 $a Includes bibliographical references
520 $a Several engineering problems exist that require optimization. Most design cases on paper are usually one or two dimensional and are used in theoretical approaches to design problems. Here, the genetic algorithm based optimization will be applied to real world thermo-fluidic applications, optimization of cooling fin parameters for an internal combustion engine and dollar cost optimization of a high bypass ratio turbofan engine component improvements with specified flight constraints. The time study of the optimization of the second case is also presented to show the significant reduction of computation time from other methods when high degrees of freedom are required in computations.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Mechanical engineering. $3 557493
650 4 $a Engineering. $3 561152
655 7 $a Electronic books. $2 local $3 554714
690 $a 0548
690 $a 0537
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Southern Illinois University at Edwardsville. $b Mechanical and Industrial Engineering. $3 1187608
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10606518 $z click for full text (PQDT)

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