Dataset on a Benchmark for Equality Constrained Multi-objective Optimization

Oliver Cuate; Lourdes Uribe; Adriana Lara; Oliver Schütze

doi:10.1016/j.dib.2020.105130

Dataset on a Benchmark for Equality Constrained Multi-objective Optimization

Data Brief. 2020 Jan 11:29:105130. doi: 10.1016/j.dib.2020.105130. eCollection 2020 Apr.

Authors

Oliver Cuate¹, Lourdes Uribe², Adriana Lara², Oliver Schütze^{1

3}

Affiliations

¹ Department of Computer Science, CINVESTAV-IPN, Mexico City, Mexico.
² ESFM, Instituto Politécnico Nacional, Mexico City, Mexico.
³ Dr. Rodolfo Quintero Chair, UAM Cuajimalpa, Mexico City, Mexico.

Abstract

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.

Keywords: Benchmarking; Equality constraints; Evolutionary computation; Multi-objective optimization.