Dataset on a Benchmark for Equality Constrained Multi-objective Optimization

In this Data in Brief, we provide the source code for the equality constrained multi-objective optimization benchmark problems EqDTLZ 1–4 and EqIDTLZ 1–2 proposed in the research article “A Benchmark for Equality Constrained Multi-objective Optimization” [1]. Further, we provide the codes for the mu...

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Autores principales: Cuate, Oliver, Uribe, Lourdes, Lara, Adriana, Schütze, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Mathematics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994572/
https://www.ncbi.nlm.nih.gov/pubmed/32021886
http://dx.doi.org/10.1016/j.dib.2020.105130
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author Cuate, Oliver
Uribe, Lourdes
Lara, Adriana
Schütze, Oliver
author_facet Cuate, Oliver
Uribe, Lourdes
Lara, Adriana
Schütze, Oliver
author_sort Cuate, Oliver
collection PubMed
description In this Data in Brief, we provide the source code for the equality constrained multi-objective optimization benchmark problems EqDTLZ 1–4 and EqIDTLZ 1–2 proposed in the research article “A Benchmark for Equality Constrained Multi-objective Optimization” [1]. Further, we provide the codes for the multi-objective evolutionary algorithms NSGA-II, NSGA-III, aNSGA-III, GDE3, MOEA/D/D and PPS and their numerical approximations on the above mentioned test functions. All codes are provided in Matlab using the PlatEMO classes version 2.0 in order to test different algorithms.
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spelling pubmed-69945722020-02-04 Dataset on a Benchmark for Equality Constrained Multi-objective Optimization Cuate, Oliver Uribe, Lourdes Lara, Adriana Schütze, Oliver Data Brief Mathematics In this Data in Brief, we provide the source code for the equality constrained multi-objective optimization benchmark problems EqDTLZ 1–4 and EqIDTLZ 1–2 proposed in the research article “A Benchmark for Equality Constrained Multi-objective Optimization” [1]. Further, we provide the codes for the multi-objective evolutionary algorithms NSGA-II, NSGA-III, aNSGA-III, GDE3, MOEA/D/D and PPS and their numerical approximations on the above mentioned test functions. All codes are provided in Matlab using the PlatEMO classes version 2.0 in order to test different algorithms. Elsevier 2020-01-11 /pmc/articles/PMC6994572/ /pubmed/32021886 http://dx.doi.org/10.1016/j.dib.2020.105130 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Mathematics
Cuate, Oliver
Uribe, Lourdes
Lara, Adriana
Schütze, Oliver
Dataset on a Benchmark for Equality Constrained Multi-objective Optimization
title Dataset on a Benchmark for Equality Constrained Multi-objective Optimization
title_full Dataset on a Benchmark for Equality Constrained Multi-objective Optimization
title_fullStr Dataset on a Benchmark for Equality Constrained Multi-objective Optimization
title_full_unstemmed Dataset on a Benchmark for Equality Constrained Multi-objective Optimization
title_short Dataset on a Benchmark for Equality Constrained Multi-objective Optimization
title_sort dataset on a benchmark for equality constrained multi-objective optimization
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994572/
https://www.ncbi.nlm.nih.gov/pubmed/32021886
http://dx.doi.org/10.1016/j.dib.2020.105130
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