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International Journal of Engineering، جلد ۳۰، شماره ۶، صفحات ۸۹۵-۹۰۳
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| عنوان انگلیسی |
Multi-objective Optimization of Stirling Heat Engine Using Gray Wolf Optimization Algorithm (TECHNICAL NOTE) |
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| چکیده انگلیسی مقاله |
The use of meta-heuristic optimization methods have become quite generic in the past two decades. This paper provides a theoretical investigation to find optimum design parameters of the Stirling heat engines using a recently presented nature-inspired method namely the gray wolf optimization (GWO). This algorithm is utilized for the maximization of the output power/thermal efficiency as well as minimization of the pressure loss. The linear programming technique is employed for analyzing the multi-objective problem and the result is compared with the three individually computed costs of the aforementioned cost functions. The results show that the new meta-heuristic algorithm (i.e. GWO) yields acceptable results in quality compared to the other presented methods such as TOPSIS and Bellman-Zadeh. |
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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
Hamed Badjian |
Electrical and Electronic Engineering, Shiraz University of Technology
Shahryar Zare |
Mechanical and Aerospace Engineering, Shiraz University of Technology
Alireza Tavakolpour-Saleh |
Mechanical and Aerospace Engineering, Shiraz University of Technology
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| نشانی اینترنتی |
http://www.ije.ir/article_72961_7dfbd0e33a493a677189089250131a04.pdf |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2062079.pdf |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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