In last decades, nano technology was developed. Since, nano scale thermal cycles will be possibly
employed in near future. In this research, a nano scale irreversible dual cycle is investigated thermodynamically
for optimization of performance. Ideal Maxwell-Boltzmann gas is used for working fluid in the
system. It is chosen as working fluid. In this paper, two scenarios are introduced for optimization process.
The outcomes of each of the scenarios are evaluated independently. Throughout first scenario, in order to
maximize the dimensionless output work and first law efficiency of the system, multi-objective optimization
algorithms are employed. Furthermore, in second scenario, two objective functions comprising the dimensionless
output work are the dimensionless ecological function are maximized concurrently via employing
multi objective optimization algorithms. The multi objective evolutionary approaches (MOEAs) on the
basis of NSGA-II method are employed in this paper Decision making is done via three methods including
LINAMP and TOPSIS and FUZZY. Finally, error analysis is implemented on the results obtained in this
research
کلید واژگان :
Dual cycle ,dimensionless ecological function , dimensionless output work ,optimization , decision making
