Modified Simulated Annealing Algorithm for Optimization of Heat Exchangers

Abstract

Objectives: To use MSAA metaheuristics recently developed, in the optimization of Shell and Tube Heat Exchanger and compare the results obtained with those reported by other approaches. Methods/Analysis: MSAA was recently introduced for solving global optimization problems and is a newly improved version of the Simulated Annealing (SA). Two case studies reported in the literature were analyzed to evaluate the performance of MSAA. Findings: In the two cases studied, the MSAA obtained better results than those obtained by other metaheuristic algorithms, giving validity to the work reported here. Novelty/Improvement: Development of a new approach to design of Shell and Tube Heat Exchanger, where MSAA is used as optimizer. Keywords: Heat Exchanger, Metaheuristic, Modified Simulated Annealing Algorithm, Optimization