東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Teaching learning based optimization...

Rao, R. Venkata.

FindBook

Google Book

Amazon

博客來

Teaching learning based optimization algorithm = and its engineering applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Teaching learning based optimization algorithm/ by R. Venkata Rao.
其他題名:	and its engineering applications /
作者:	Rao, R. Venkata.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xvi, 284 p. :ill., digital ;24 cm.
內容註:	Introduction to optimization -- Advanced optimization techniques -- Elitist and Modified TLBO algorithms -- Applications of proposed E-TLBO and M-TLBO algorithms on constrained and unconstrained benchmark functions -- Design optimization of heat exchangers -- Design optimization of rotary regenerators -- Design optimization of cooling tower -- Optimization of combined Brayton and inverse Brayton cycle -- Design optimization of two-stage thermoelectric cooler -- Process parameter optimization of manufacturing processes using TLBO algorithm -- Design optimization of machine elements using TLBO algorithm and its versions -- Applications of TLBO algorithm in electrical engineering discipline -- Applications of TLBO algorithm in computer engineering discipline -- Applications of TLBO algorithm in civil and structural engineering disciplines -- Concluding remarks.
Contained By:	Springer eBooks
標題:	Computer algorithms. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-22732-0
ISBN:	9783319227320$q(electronic bk.)

Teaching learning based optimization algorithm = and its engineering applications /
Rao, R. Venkata.

Teaching learning based optimization algorithmand its engineering applications /[electronic resource] :by R. Venkata Rao. - Cham :Springer International Publishing :2016. - xvi, 284 p. :ill., digital ;24 cm.

Introduction to optimization -- Advanced optimization techniques -- Elitist and Modified TLBO algorithms -- Applications of proposed E-TLBO and M-TLBO algorithms on constrained and unconstrained benchmark functions -- Design optimization of heat exchangers -- Design optimization of rotary regenerators -- Design optimization of cooling tower -- Optimization of combined Brayton and inverse Brayton cycle -- Design optimization of two-stage thermoelectric cooler -- Process parameter optimization of manufacturing processes using TLBO algorithm -- Design optimization of machine elements using TLBO algorithm and its versions -- Applications of TLBO algorithm in electrical engineering discipline -- Applications of TLBO algorithm in computer engineering discipline -- Applications of TLBO algorithm in civil and structural engineering disciplines -- Concluding remarks.

Describing a new optimization algorithm, the "Teaching-Learning-Based Optimization (TLBO)," in a clear and lucid style, this book maximizes reader insights into how the TLBO algorithm can be used to solve continuous and discrete optimization problems involving single or multiple objectives. As the algorithm operates on the principle of teaching and learning, where teachers influence the quality of learners' results, the elitist version of TLBO algorithm (ETLBO) is described along with applications of the TLBO algorithm in the fields of electrical engineering, mechanical design, thermal engineering, manufacturing engineering, civil engineering, structural engineering, computer engineering, electronics engineering, physics and biotechnology. The book offers a valuable resource for scientists, engineers and practitioners involved in the development and usage of advanced optimization algorithms.

ISBN: 9783319227320$q(electronic bk.)

Standard No.: 10.1007/978-3-319-22732-0doiSubjects--Topical Terms:

523872
Computer algorithms.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.1

Teaching learning based optimization algorithm = and its engineering applications /
LDR:02761nmm a2200325 a 4500 001 2029109
003 DE-He213
005 20160721104345.0
006 m d
007 cr nn 008maaau
008 160908s2016 gw s 0 eng d
020 $a 9783319227320$q(electronic bk.)
020 $a 9783319227313$q(paper)
024 7 $a 10.1007/978-3-319-22732-0 $2 doi
035 $a 978-3-319-22732-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.A43
072 7 $a TBD $2 bicssc
072 7 $a TEC016020 $2 bisacsh
072 7 $a TEC016000 $2 bisacsh
082 0 4 $a 005.1 $2 23
090 $a QA76.9.A43 $b R215 2016
100 1 $a Rao, R. Venkata. $3 2179933
245 1 0 $a Teaching learning based optimization algorithm $h [electronic resource] : $b and its engineering applications / $c by R. Venkata Rao.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xvi, 284 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction to optimization -- Advanced optimization techniques -- Elitist and Modified TLBO algorithms -- Applications of proposed E-TLBO and M-TLBO algorithms on constrained and unconstrained benchmark functions -- Design optimization of heat exchangers -- Design optimization of rotary regenerators -- Design optimization of cooling tower -- Optimization of combined Brayton and inverse Brayton cycle -- Design optimization of two-stage thermoelectric cooler -- Process parameter optimization of manufacturing processes using TLBO algorithm -- Design optimization of machine elements using TLBO algorithm and its versions -- Applications of TLBO algorithm in electrical engineering discipline -- Applications of TLBO algorithm in computer engineering discipline -- Applications of TLBO algorithm in civil and structural engineering disciplines -- Concluding remarks.
520 $a Describing a new optimization algorithm, the "Teaching-Learning-Based Optimization (TLBO)," in a clear and lucid style, this book maximizes reader insights into how the TLBO algorithm can be used to solve continuous and discrete optimization problems involving single or multiple objectives. As the algorithm operates on the principle of teaching and learning, where teachers influence the quality of learners' results, the elitist version of TLBO algorithm (ETLBO) is described along with applications of the TLBO algorithm in the fields of electrical engineering, mechanical design, thermal engineering, manufacturing engineering, civil engineering, structural engineering, computer engineering, electronics engineering, physics and biotechnology. The book offers a valuable resource for scientists, engineers and practitioners involved in the development and usage of advanced optimization algorithms.
650 0 $a Computer algorithms. $3 523872
650 0 $a Machine learning. $3 533906
650 1 4 $a Engineering. $3 586835
650 2 4 $a Engineering Design. $3 891033
650 2 4 $a Computer-Aided Engineering (CAD, CAE) and Design. $3 892568
650 2 4 $a Computational Science and Engineering. $3 893018
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-22732-0
950 $a Engineering (Springer-11647)