TY - JOUR ID - 72961 TI - Multi-objective Optimization of Stirling Heat Engine Using Gray Wolf Optimization Algorithm (TECHNICAL NOTE) JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Badjian, Hamed AU - Zare, Shahryar AU - Tavakolpour-Saleh, Alireza AD - Electrical and Electronic Engineering, Shiraz University of Technology AD - Mechanical and Aerospace Engineering, Shiraz University of Technology Y1 - 2017 PY - 2017 VL - 30 IS - 6 SP - 895 EP - 903 KW - Stirling Engine KW - power output KW - pressure loss KW - Thermal efficiency KW - Gray Wolf Optimizer KW - multi KW - objective optimization KW - linear programming technique DO - N2 - 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. UR - https://www.ije.ir/article_72961.html L1 - https://www.ije.ir/article_72961_7dfbd0e33a493a677189089250131a04.pdf ER -