Economic optimization design for shell-and-tube heat exchangers by a Tsallis differential evolution

This paper presents an optimization of shell-and-tube heat exchangers (STHEs) considering as objective function the minimization of the total annual cost by Differential Evolution (DE) and a novel Differential Evolution variant, denominated Tsallis Differential Evolution (TDE). Shell-and-tube heat exchangers are the most widely used heat exchanger in industrial processes and its design involves several steps, including the selection of geometrical and operating parameters. The variables used for the optimization were the shell internal diameter (Ds), the outside tube diameter (do) and the baffles spacing (B). Reductions of total annual cost about of 26.99% compared to the literature, and reductions of 14.50%, 11.50%, 6.90% and 1.15% compared to Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Biogeography-Based Optimization (BBO) and Cuckoo-Search Algorithm (CSA) methods, respectively, were obtained for the case 1 and reduction of costs about 54.60%, 11.70% and 9.40% compared to the literature, GA and PSO, respectively, was obtained for the second case.