Data in Brief (Apr 2020)

Dataset on a Benchmark for Equality Constrained Multi-objective Optimization

  • Oliver Cuate,
  • Lourdes Uribe,
  • Adriana Lara,
  • Oliver Schütze

Journal volume & issue
Vol. 29

Abstract

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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: Evolutionary computation, Multi-objective optimization, Equality constraints, Benchmarking