Choosing the best evolutionary algorithm to optimize the multiobjective shell-and-tube heat exchanger design problem using PROMETHEE

•Pareto solutions for the STHE MOO problem are found using evolutionary algorithms.•The performance of each algorithm is analyzed using statistical metrics.•The PROMETHEE method is used to choose the best evolutionary algorithm.•The experiments show MOPSO as the most robust algorithm. The aim of thi...

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Veröffentlicht in:	Applied thermal engineering 2017-12, Vol.127, p.1049-1061
Hauptverfasser:	Saldanha, Wagner Henrique, Soares, Gustavo Luís, Machado-Coelho, Thiago Melo, dos Santos, Emanuel Diniz, Ekel, Petr Iakovlevitch
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Decision making Evolutionary algorithms Evolutionary computation Evolutionary design method Genetic algorithms Heat exchangers Heat transfer Multiobjective optimization Multiple objective analysis Optimization Particle swarm optimization PROMETHEE Shell-and-Tube Heat Exchanger Sorting algorithms Tube heat exchangers
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