Research Article

Using Different Approaches to Approximate a Pareto Front for a Multiobjective Evolutionary Algorithm: Optimal Thinning Regimes for Eucalyptus fastigata

Table 2

MOGA and NSGA II specifications for the stand-level optimal thinning regime problem for E. fastigata.

MOGANSGA II

Population size500500
Maximum generations500500
Number of objectives22
Number of variables99
Number of constraints11
MutationRandomGaussian
Recombination/crossoverDiscreteIntermediate
SelectionStochastic universal samplingTournament