Evolutionary algorithms and the Preference Ranking Organization Method for Enrichment Evaluations as applied to a multiobjective design of shell-and-tube heat exchangers

The results of the present work are directed at solving the shell-and-tube heat exchanger design optimization problem on the basis of a multiobjective approach by applying Evolutionary Algorithms. The considered objective functions are associated with equipment's heat transfer area and pumping...

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Main Authors:	Wagner Henrique Saldanha, Felipe Raul Ponce Arrieta, Thiago Melo Machado-Coelho, Emanuel Diniz dos Santos, Cristiana Brasil Maia, Petr Iakovlevitch Ekel, Gustavo Luís Soares
Format:	Article
Language:	English
Published:	Elsevier 2020-02-01
Series:	Case Studies in Thermal Engineering
Online Access:	http://www.sciencedirect.com/science/article/pii/S2214157X19301984

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spelling	doaj-a556e89381714993a06a87ec547d44ce2020-11-25T01:29:43ZengElsevierCase Studies in Thermal Engineering2214-157X2020-02-0117Evolutionary algorithms and the Preference Ranking Organization Method for Enrichment Evaluations as applied to a multiobjective design of shell-and-tube heat exchangersWagner Henrique Saldanha0Felipe Raul Ponce Arrieta1Thiago Melo Machado-Coelho2Emanuel Diniz dos Santos3Cristiana Brasil Maia4Petr Iakovlevitch Ekel5Gustavo Luís Soares6Graduate Program in Mechanical Engineering, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, MG, BrazilGraduate Program in Mechanical Engineering, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, MG, BrazilGraduate Program in Electrical Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, MG, BrazilGraduate Program in Electrical Engineering, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, MG, BrazilGraduate Program in Mechanical Engineering, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, MG, Brazil; Corresponding author.Graduate Program in Electrical Engineering, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, MG, BrazilGraduate Program in Electrical Engineering, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, MG, BrazilThe results of the present work are directed at solving the shell-and-tube heat exchanger design optimization problem on the basis of a multiobjective approach by applying Evolutionary Algorithms. The considered objective functions are associated with equipment's heat transfer area and pumping power. The performance of the algorithms has been analyzed applying the Hypervolume, Coverage, Spacing and Pair-Wise Distance metrics. Their use allows one to compare the algorithms from the points of view of their efficiency, their diversity, and the quality of obtained solutions. The Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) is applied to allow one to generate the solution from the Pareto frontier, according to the criteria and preferences defined by the decision maker. Keywords: Decision-making, Evolutionary computation, Multi-objective optimization, Shell-and-tube heat exchangerhttp://www.sciencedirect.com/science/article/pii/S2214157X19301984
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Wagner Henrique Saldanha Felipe Raul Ponce Arrieta Thiago Melo Machado-Coelho Emanuel Diniz dos Santos Cristiana Brasil Maia Petr Iakovlevitch Ekel Gustavo Luís Soares
spellingShingle	Wagner Henrique Saldanha Felipe Raul Ponce Arrieta Thiago Melo Machado-Coelho Emanuel Diniz dos Santos Cristiana Brasil Maia Petr Iakovlevitch Ekel Gustavo Luís Soares Evolutionary algorithms and the Preference Ranking Organization Method for Enrichment Evaluations as applied to a multiobjective design of shell-and-tube heat exchangers Case Studies in Thermal Engineering
author_facet	Wagner Henrique Saldanha Felipe Raul Ponce Arrieta Thiago Melo Machado-Coelho Emanuel Diniz dos Santos Cristiana Brasil Maia Petr Iakovlevitch Ekel Gustavo Luís Soares
author_sort	Wagner Henrique Saldanha
title	Evolutionary algorithms and the Preference Ranking Organization Method for Enrichment Evaluations as applied to a multiobjective design of shell-and-tube heat exchangers
title_short	Evolutionary algorithms and the Preference Ranking Organization Method for Enrichment Evaluations as applied to a multiobjective design of shell-and-tube heat exchangers
title_full	Evolutionary algorithms and the Preference Ranking Organization Method for Enrichment Evaluations as applied to a multiobjective design of shell-and-tube heat exchangers
title_fullStr	Evolutionary algorithms and the Preference Ranking Organization Method for Enrichment Evaluations as applied to a multiobjective design of shell-and-tube heat exchangers
title_full_unstemmed	Evolutionary algorithms and the Preference Ranking Organization Method for Enrichment Evaluations as applied to a multiobjective design of shell-and-tube heat exchangers
title_sort	evolutionary algorithms and the preference ranking organization method for enrichment evaluations as applied to a multiobjective design of shell-and-tube heat exchangers
publisher	Elsevier
series	Case Studies in Thermal Engineering
issn	2214-157X
publishDate	2020-02-01
description	The results of the present work are directed at solving the shell-and-tube heat exchanger design optimization problem on the basis of a multiobjective approach by applying Evolutionary Algorithms. The considered objective functions are associated with equipment's heat transfer area and pumping power. The performance of the algorithms has been analyzed applying the Hypervolume, Coverage, Spacing and Pair-Wise Distance metrics. Their use allows one to compare the algorithms from the points of view of their efficiency, their diversity, and the quality of obtained solutions. The Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) is applied to allow one to generate the solution from the Pareto frontier, according to the criteria and preferences defined by the decision maker. Keywords: Decision-making, Evolutionary computation, Multi-objective optimization, Shell-and-tube heat exchanger
url	http://www.sciencedirect.com/science/article/pii/S2214157X19301984
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Evolutionary algorithms and the Preference Ranking Organization Method for Enrichment Evaluations as applied to a multiobjective design of shell-and-tube heat exchangers

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