Efficiency and economic optimization of shell and tube heat exchanger using bacteria foraging algorithm

Shell and tube heat exchanger (STHE) is widely used in the industries for various purposes due to its capacity to with�stand pressure. STHE has the drawback of more cost and lower efciency. Many existing methods involve in applying the
optimization technique to decrease the cost of the system. Existing method has the lower efciency in the optimization
due to the random initialization and poor convergence. This research applies the bacteria foraging algorithm (BFA) to
increase the efciency and decrease the cost of the STHE system. The BFA has the advantages of the faster convergence
and the global search approach to increase the performance in design. The proposed BFA is evaluated in the two case
studies and compared with the existing method. The proposed BFA in multi-objective optimization of STHE has the total
cost of 41,464 €, while existing method has the total cost of 41,913 €. The proposed BFA method also achieved high heat
efciency coefcient of 1089, and the existing method has 1031.47.