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

Table 3

Summary of the approaches for the E. fastigata optimal thinning regime problem using MOGA, NSGA II, and ccGA as computed on a MacBook Pro with a 2.93 GHz Intel Core 2 Duo processor.

Model	Turnaround time (mins)	MATLAB parallel computing	Population size	Max generations	No. of nondominated solutions
MOGA	25	SPMD	500	500	153
NSGA II	82	PARFOR	500	500	500
ccGA-MOGA [2]	39	n/a	500	1000	6