Economic optimization of shell-and-tube heat exchanger using Jaya algorithm with maintenance consideration

Abstract This paper explores the use of the Jaya algorithm for economic optimization of shell-and-tube heat exchanger (STHE) design. Consistency and maintenance because of fouling are also considered. Two different optimization problems of STHE are considered in this work. The same problems were earlier attempted by other researchers using genetic algorithm (GA), particle swarm optimization (PSO) and civilized swarm optimization (CSO). The proposed Jaya algorithm is a newly developed algorithm and it does not have any algorithmic-specific parameters to be tuned except the common control parameters of population size and number of iterations. Eleven design parameters related with STHE configuration are used as decision variables. The results obtained by the computational studies are better and the superiority of the Jaya algorithm is proved over the latest reported methods used for the optimization of the same problems.

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