Determining starting parameters...
==========
	LC3	LC4	RainLAI	OMLAI8	SIeff8
0:	0.001253	0.008097	0.000211	8.740079	0.474364	=	(	-0.576000	-0.463000	-0.538000	)	-1	1
1:	0.002154	0.006202	0.000414	11.885865	0.405764	=	(	-0.587000	-0.488000	-0.473000	)	-1	2
2:	0.008715	0.004324	0.000250	5.881930	0.638721	=	(	-0.602000	-0.470000	-0.524000	)	-1	3
3:	0.000609	0.009876	0.000399	11.227233	0.466639	=	(	-0.566000	-0.451000	-0.491000	)	-1	4
4:	0.000861	0.003995	0.000385	5.464732	0.745901	=	(	-0.575000	-0.459000	-0.567000	)	-1	5
5:	0.000594	0.009477	0.000225	6.636399	0.403767	=	(	-0.556000	-0.425000	-0.535000	)	-1	6
6:	0.009940	0.006832	0.000086	5.765716	0.767212	=	(	-0.602000	-0.458000	-0.543000	)	-1	7
7:	0.009224	0.001168	0.000199	10.207773	0.788944	=	(	-0.611000	-0.484000	-0.491000	)	-1	8
8:	0.005503	0.005587	0.000175	12.663653	0.701438	=	(	-0.612000	-0.501000	-0.494000	)	-1	9
9:	0.006967	0.008962	0.000489	5.748433	0.496602	=	(	-0.599000	-0.478000	-0.506000	)	-1	10

Results for multi-objective global optimization:
	Needed 0 iterations to solve with a population of 5
==========
	LC3	LC4	RainLAI	OMLAI8	SIeff8	test0	test1	test2 	rank	soln_num

0:	0.0012532	0.0080966	0.00021086	8.7401	0.47436	= (	-0.576	-0.463	-0.538 )	1	1
1:	0.0055034	0.0055868	0.00017505	12.664	0.70144	= (	-0.612	-0.501	-0.494 )	1	9
2:	0.0087151	0.004324	0.00025008	5.8819	0.63872	= (	-0.602	-0.47	-0.524 )	1	3
3:	0.00086139	0.0039947	0.00038456	5.4647	0.7459	= (	-0.575	-0.459	-0.567 )	1	5
4:	0.0069673	0.0089624	0.00048856	5.7484	0.4966	= (	-0.599	-0.478	-0.506 )	1	10