Multi-objective Optimization of Stirling Heat Engine Using Gray Wolf Optimization Algorithm
محل انتشار: ماهنامه بین المللی مهندسی، دوره: 30، شماره: 6
سال انتشار: 1396
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 342
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شناسه ملی سند علمی:
JR_IJE-30-6_010
تاریخ نمایه سازی: 6 شهریور 1396
چکیده 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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نویسندگان
a.r Tavakolpour-Saleh
Department of Mechanical and Aerospace Engineering, Shiraz University of Technology, Shiraz, Iran
sh. zare
Department of Mechanical and Aerospace Engineering, Shiraz University of Technology, Shiraz, Iran
h badjian
Department of Mechanical and Aerospace Engineering, Shiraz University of Technology, Shiraz, Iran