Many Objective Evolutionary Algorithm
A set of evolutionary algorithms to solve many-objective optimization.
Hybridization between the algorithms are also facilitated. Available algorithms are:
'SMS-EMOA'
'NSGA-III'
'MO-CMA-ES'
The following many-objective benchmark problems are also provided:
'DTLZ1'-'DTLZ4' from Deb, et al. (2001) and
'WFG4'-'WFG9' from Huband, et al. (2005) .