کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6595158 | 458511 | 2016 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Automated heat exchanger network synthesis by using hybrid natural algorithms and parallel processing
ترجمه فارسی عنوان
سنتز شبکه مبدل حرارتی خودکار با استفاده از الگوریتم های ترکیبی طبیعی و پردازش موازی
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کلمات کلیدی
سنتز شبکه مبدل حرارتی، بهینه سازی، متا اورویری، پردازش موازی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
مهندسی شیمی (عمومی)
چکیده انگلیسی
Heat exchanger network (HEN) synthesis can be formulated as an optimization problem, which can be solved by meta-heuristics. These approaches account for a large computational time until convergence. In the present paper the potentialities of applying parallel processing techniques to a non-deterministic approach based on a hybridization between Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) were investigated. Six literature examples were used as benchmarks for the solutions obtained. Comparative experiments were carried out to investigate the time efficiency of the method while implemented using series or parallel processing. The solutions obtained led to lower Total Annual Costs (TAC) than those presented by the literature. As expected, parallel processing usage multiplied the algorithm speed by the number of cores used. Hence, it can be concluded that the proposed method is capable of finding excellent local optimal solutions, and the application of multiprocessing techniques represented a substantial reduction in execution time.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Chemical Engineering - Volume 94, 2 November 2016, Pages 370-386
Journal: Computers & Chemical Engineering - Volume 94, 2 November 2016, Pages 370-386
نویسندگان
Leandro Vitor Pavão, Caliane Bastos Borba Costa, Mauro Antonio da Silva Sá Ravagnani,