| 書目名稱 | Thermal System Optimization |
| 副標題 | A Population-Based M |
| 編輯 | Vivek K. Patel,Vimal J. Savsani,Mohamed A. Tawhid |
| 視頻video | http://file.papertrans.cn/925/924414/924414.mp4 |
| 概述 | Outlines each of the varied meta-heuristic approaches to solve thermal system optimization problems.Provides MATLAB codes for all of the meta-heuristic and thermal systems used in the text.Presents a |
| 圖書封面 |  |
| 描述 | 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 fordifferent 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 |
| 出版日期 | Book 2019 |
| 關(guān)鍵詞 | Thermal Systems; Meta-heuristics; Optimization of heat exchangers; Thermo-economic Analysis; Thermal Mod |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-10477-1 |
| isbn_ebook | 978-3-030-10477-1 |
| copyright | Springer Nature Switzerland AG 2019 |
|Archiver|手機版|小黑屋|
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