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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Detalles Bibliográficos
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
Descripción
Sumario: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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