@article { author = {Badjian, Hamed and Zare, Shahryar and Tavakolpour-Saleh, Alireza}, title = {Multi-objective Optimization of Stirling Heat Engine Using Gray Wolf Optimization Algorithm (TECHNICAL NOTE)}, journal = {International Journal of Engineering}, volume = {30}, number = {6}, pages = {895-903}, year = {2017}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Stirling Engine,power output,pressure loss,Thermal efficiency,Gray Wolf Optimizer,multi,objective optimization,linear programming technique}, url = {https://www.ije.ir/article_72961.html}, eprint = {https://www.ije.ir/article_72961_7dfbd0e33a493a677189089250131a04.pdf} }