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Large‐scale heat exchanger networks synthesis using simulated annealing and the novel rocket fireworks optimization
Author(s) -
Pavão Leandro Vitor,
Costa Caliane Bastos Borba,
Ravagnani Mauro Antonio da Silva Sá,
Jiménez Laureano
Publication year - 2017
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.15524
Subject(s) - simulated annealing , heat exchanger , computer science , mathematical optimization , heuristic , rocket (weapon) , fireworks , scale (ratio) , algorithm , engineering , mechanical engineering , aerospace engineering , mathematics , chemistry , physics , organic chemistry , quantum mechanics
Heat Exchanger Network (HEN) synthesis is an important field of study in process engineering. However, obtaining optimal HEN design is a complex task. When mathematically formulated, it may require sophisticated methods to achieve good solutions. The complexity increases even more for large‐scale HEN. In this work, a hybrid meta‐heuristic method is presented. A rather simple Simulated Annealing approach is used for the combinatorial level, while a strategy named rocket fireworks optimization is developed and applied to the continuous domain. An advantage over other approaches is that the algorithm was written in C++, which is free and faster when compared to many other languages. The developed method was able to provide the lowest costs solutions reported so far to six cases well studied in the literature. An important feature of the approach here proposed is that, differently from other approaches, it does not split HEN into smaller problems during the optimization. © 2016 American Institute of Chemical Engineers AIChE J , 63: 1582–1601, 2017