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Modified Simulated Annealing Algorithm for Optimization of Heat Exchangers


Affiliations
1 Universidad de Sucre, Sincelejo, Sucre, Colombia
 

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.
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  • Modified Simulated Annealing Algorithm for Optimization of Heat Exchangers

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Authors

Carlos Millan-Paramo
Universidad de Sucre, Sincelejo, Sucre, Colombia
Euriel Millan-Romero
Universidad de Sucre, Sincelejo, Sucre, Colombia

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.

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DOI: https://doi.org/10.17485/ijst%2F2018%2Fv11i45%2F134074