Abstract: Today, these countries consider energy optimization and management as a new energy resource. With respect to the increasing energy costs, costs reduction due to exergy fuel and loss is one of the greatest objectives of researchers and craftsmen. Exergoeconomic analysis helps designers find system performance in an affordable way that significantly contribute the analysis, design and optimization of thermal system. In the present study, the effect of various values of turbine input temperature, the ratio of compressor presser and output cooling temperature of generator to the second law return as well as the system costs rate have been investigated. In cycle optimization performed by genetic algorithm, after introducing the variables of designing and determining target functions, the optimal points indicating the highest return and the lowest costs rates were specified and the effect of each designing variables on target function were presented. As the findings revealed, total cost rate at the optimal state was reduced about 14% relative to the primary state. Also, it was found that there was a relation between unit cost and operational parameters change. Moreover, as the result of increasing compressor pressure, exergy losses at combustion chamber could be decreased, leading to the cost reduction.