Economic Optimization of Shell and Tube Heat Exchanger using Adaptive Mutation Strategy Jaya Algorithm

Shell and Tube Heat Exchanger (STHE) is the important device in the many industries like power plant. The cost of the STHE is more and this in-turn requires economic optimization of the STHE design. This research aims to provide the economic optimization of the STHE with Adaptive Mutation Strategy (AMS) with Jaya algorithm. The Jaya algorithm has the considerable performance in the STHE design optimization. The AMS technique is applied in the Jaya algorithm to escape from the local optimum based on the operator. The proposed AMS-Jaya algorithm in design optimization is compared with other existing methods to investigate the performance. The capital cost of the design provided by the AMS-Jaya algorithm is $ 3891.02 and the capital cost of the Jaya algorithm design is $ 3986.92. The numerical analysis shows that the developed AMS-Jaya algorithm has more performance in economic optimization than existing methods.