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Teaching learning based optimization algorithm[electronic resource] :and its engineering applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	005.1
書名/作者:	Teaching learning based optimization algorithm : and its engineering applications // by R. Venkata Rao.
作者:	Rao, R. Venkata.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xvi, 284 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Computer algorithms.
標題:	Machine learning.
標題:	Engineering.
標題:	Engineering Design.
標題:	Computer-Aided Engineering (CAD, CAE) and Design.
標題:	Computational Science and Engineering.
ISBN:	9783319227320
ISBN:	9783319227313
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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-22732-0

Teaching learning based optimization algorithm[electronic resource] :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

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

179921
Computer algorithms.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.1

Teaching learning based optimization algorithm[electronic resource] :and its engineering applications /
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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.
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