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dc.contributor.author
Méndez Babey, Máximo
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dc.contributor.author
Frutos, Mariano
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dc.contributor.author
Miguel, Fabio Maximiliano
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dc.contributor.author
Aguasca Colomo, Ricardo
dc.date.available
2021-04-06T19:44:26Z
dc.date.issued
2020-11-20
dc.identifier.citation
Méndez Babey, Máximo; Frutos, Mariano; Miguel, Fabio Maximiliano; Aguasca Colomo, Ricardo; Topsis decision on approximate pareto fronts by using evolutionary algorithms: Application to an engineering design problem; MDPI; Mathematics; 8; 11; 20-11-2020; 1-27
dc.identifier.issn
2227-7390
dc.identifier.uri
http://hdl.handle.net/11336/129472
dc.description.abstract
A common technique used to solve multi-objective optimization problems consists of first generating the set of all Pareto-optimal solutions and then ranking and/or choosing the most interesting solution for a human decision maker (DM). Sometimes this technique is referred to as generate first–choose later. In this context, this paper proposes a two-stage methodology: a first stage using a multi-objective evolutionary algorithm (MOEA) to generate an approximate Pareto-optimal front of non-dominated solutions and a second stage, which uses the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) devoted to rank the potential solutions to be proposed to the DM. The novelty of this paper lies in the fact that it is not necessary to know the ideal and nadir solutions of the problem in the TOPSIS method in order to determine the ranking of solutions. To show the utility of the proposed methodology, several original experiments and comparisons between different recognized MOEAs were carried out on a welded beam engineering design benchmark problem. The problem was solved with two and three objectives and it is characterized by a lack of knowledge about ideal and nadir values.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
MDPI
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
ENGINEERING DESIGN
dc.subject
MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS
dc.subject
MULTIPLE CRITERIA DECISION-MAKING
dc.subject
OPTIMIZATION
dc.subject
PREFERENCES
dc.subject
TOPSIS
dc.subject.classification
Otras Ingenierías y Tecnologías
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dc.subject.classification
Otras Ingenierías y Tecnologías
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Topsis decision on approximate pareto fronts by using evolutionary algorithms: Application to an engineering design problem
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-01-18T14:11:34Z
dc.journal.volume
8
dc.journal.number
11
dc.journal.pagination
1-27
dc.journal.pais
Suiza
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dc.journal.ciudad
Basilea
dc.description.fil
Fil: Méndez Babey, Máximo. Universidad de Las Palmas de Gran Canaria; España
dc.description.fil
Fil: Frutos, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
dc.description.fil
Fil: Miguel, Fabio Maximiliano. Universidad Nacional de Río Negro; Argentina
dc.description.fil
Fil: Aguasca Colomo, Ricardo. Universidad de Las Palmas de Gran Canaria; España
dc.journal.title
Mathematics
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2227-7390/8/11/2072
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org//10.3390/math8112072
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