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.
Highlights
In this Data in Brief, we provide the source code for the equality constrained multi-objective optimization benchmark problems EqDTLZ 1e4 and EqIDTLZ 1e2 proposed in the research article “A Benchmark for Equality Constrained Multi-objective Optimization” [1]
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
The coded test functions can be found in EqDTLZ folder
Summary
In this Data in Brief, we provide the source code for the equality constrained multi-objective optimization benchmark problems EqDTLZ 1e4 and EqIDTLZ 1e2 proposed in the research article “A Benchmark for Equality Constrained Multi-objective Optimization” [1].
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