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Thermal system optimization = a popu...

Savsani, Vimal J.

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Thermal system optimization = a population-based metaheuristic approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Thermal system optimization/ by Vivek K. Patel, Vimal J. Savsani, Mohamed A. Tawhid.
其他題名:	a population-based metaheuristic approach /
作者:	Patel, Vivek K.
其他作者:	Savsani, Vimal J.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xvi, 477 p. :ill., digital ;24 cm.
內容註:	Introduction -- Meta-Heuristics Methods -- Thermal Design and Optimization of Heat Exchangers -- Thermal Design and Optimization of Heat Engines/Heat Pump -- Thermal Design and Optimization of Refrigerating System -- Thermal Design and Optimization of Power Generating Cycles -- Miscellaneous Systems.
Contained By:	Springer eBooks
標題:	Thermodynamics - Mathematical models. -
電子資源:	https://doi.org/10.1007/978-3-030-10477-1
ISBN:	9783030104771

Thermal system optimization = a population-based metaheuristic approach /
Patel, Vivek K.

Thermal system optimizationa population-based metaheuristic approach /[electronic resource] :by Vivek K. Patel, Vimal J. Savsani, Mohamed A. Tawhid. - Cham :Springer International Publishing :2019. - xvi, 477 p. :ill., digital ;24 cm.

Introduction -- Meta-Heuristics Methods -- Thermal Design and Optimization of Heat Exchangers -- Thermal Design and Optimization of Heat Engines/Heat Pump -- Thermal Design and Optimization of Refrigerating System -- Thermal Design and Optimization of Power Generating Cycles -- Miscellaneous Systems.

This book presents a wide-ranging review of the latest research and development directions in thermal systems optimization using population-based metaheuristic methods. It helps readers to identify the best methods for their own systems, providing details of mathematical models and algorithms suitable for implementation. To reduce mathematical complexity, the authors focus on optimization of individual components rather than taking on systems as a whole. They employ numerous case studies: heat exchangers; cooling towers; power generators; refrigeration systems; and others. The importance of these subsystems to real-world situations from internal combustion to air-conditioning is made clear. The thermal systems under discussion are analysed using various metaheuristic techniques, with comparative results for different systems. The inclusion of detailed MATLAB® codes in the text will assist readers-researchers, practitioners or students-to assess these techniques for different real-world systems. Thermal System Optimization is a useful tool for thermal design researchers and engineers in academia and industry, wishing to perform thermal system identification with properly optimized parameters. It will be of interest for researchers, practitioners and graduate students with backgrounds in mechanical, chemical and power engineering.

ISBN: 9783030104771

Standard No.: 10.1007/978-3-030-10477-1doiSubjects--Topical Terms:

653842
Thermodynamics
--Mathematical models.

LC Class. No.: TJ265 / .P384 2019

Dewey Class. No.: 621.4021

Thermal system optimization = a population-based metaheuristic approach /
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245 1 0 $a Thermal system optimization $h [electronic resource] : $b a population-based metaheuristic approach / $c by Vivek K. Patel, Vimal J. Savsani, Mohamed A. Tawhid.
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505 0 $a Introduction -- Meta-Heuristics Methods -- Thermal Design and Optimization of Heat Exchangers -- Thermal Design and Optimization of Heat Engines/Heat Pump -- Thermal Design and Optimization of Refrigerating System -- Thermal Design and Optimization of Power Generating Cycles -- Miscellaneous Systems.
520 $a This book presents a wide-ranging review of the latest research and development directions in thermal systems optimization using population-based metaheuristic methods. It helps readers to identify the best methods for their own systems, providing details of mathematical models and algorithms suitable for implementation. To reduce mathematical complexity, the authors focus on optimization of individual components rather than taking on systems as a whole. They employ numerous case studies: heat exchangers; cooling towers; power generators; refrigeration systems; and others. The importance of these subsystems to real-world situations from internal combustion to air-conditioning is made clear. The thermal systems under discussion are analysed using various metaheuristic techniques, with comparative results for different systems. The inclusion of detailed MATLAB® codes in the text will assist readers-researchers, practitioners or students-to assess these techniques for different real-world systems. Thermal System Optimization is a useful tool for thermal design researchers and engineers in academia and industry, wishing to perform thermal system identification with properly optimized parameters. It will be of interest for researchers, practitioners and graduate students with backgrounds in mechanical, chemical and power engineering.
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650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Mechanical Engineering. $3 891038
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