Datasets
Standard Dataset
Many and Multi-objective datasets used in MIP-DoM
- Citation Author(s):
-
Claudio Luciodo Val Lopes
CEFET-MGFlávio VíniciusCruzeiro MartinsCEFET-MGElizabeth F.WannerCentro Federal de Educação Tecnológica de Minas Gerais and Aston UniversityKalyanmoyDebMichigan State University - Submitted by:
- Claudio Lopes
- Last updated:
- Thu, 11/12/2020 - 10:06
- DOI:
- 10.21227/vh2b-1803
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Abstract
This dataset brings some problem sets and results from some classical algorithms from the evolutionary computational community.
We have used some tools: Pymoo, Platypus and Pagmo
Instructions:
We have some directories with the d_L_M mask. It means the following information:
- L= number of solutions in the problem set
- M = number of objectives in the problem set
For the directory d_50_3 each file represents the problem set = [DTLZ1,DTLZ2,DTLZ3,DTLZ7, WFG1,WFG2,WFG3,WFG9], the algorithm = [IBEA, MIOEA/D, NSGAII, NSGAIII, SPEA2].
All the other directories were genereated using the DTLZ1 problem set
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