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

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

Stirling Engine,Power Output,Pressure Loss,Thermal Efficiency,,Gray Wolf Optimizion,Multi-objective Optimization