Many and Multi-objective datasets used in MIP-DoM
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
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