TY - JOUR
T1 - Dataset on a Benchmark for Equality Constrained Multi-objective Optimization
AU - Cuate, Oliver
AU - Uribe, Lourdes
AU - Lara, Adriana
AU - Schütze, Oliver
N1 - Publisher Copyright:
© 2020 The Author(s)
PY - 2020/4
Y1 - 2020/4
N2 - 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.
AB - 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.
KW - Benchmarking
KW - Equality constraints
KW - Evolutionary computation
KW - Multi-objective optimization
UR - http://www.scopus.com/inward/record.url?scp=85078194992&partnerID=8YFLogxK
U2 - 10.1016/j.dib.2020.105130
DO - 10.1016/j.dib.2020.105130
M3 - Artículo
C2 - 32021886
SN - 2352-3409
VL - 29
JO - Data in Brief
JF - Data in Brief
M1 - 105130
ER -