Determining starting parameters...
==========
	LC3	LC4	RainLAI	OMLAI8	SIeff8
0:	0.002334	0.009428	0.000076	14.088408	0.487001	=	(	-0.595000	0.948000	15.284000	)	-1	1
1:	0.004952	0.005805	0.000321	6.072539	0.530923	=	(	-0.598000	0.947000	15.161000	)	-1	2
2:	0.006142	0.007230	0.000306	8.041391	0.785634	=	(	-0.609000	0.947000	15.453000	)	-1	3
3:	0.004630	0.005959	0.000197	6.826197	0.608249	=	(	-0.601000	0.946000	15.104000	)	-1	4
4:	0.004291	0.003113	0.000169	7.991352	0.723223	=	(	-0.605000	0.947000	15.180000	)	-1	5
5:	0.005089	0.003772	0.000259	11.216099	0.409610	=	(	-0.600000	0.948000	15.551000	)	-1	6
6:	0.006087	0.006688	0.000361	13.732369	0.536032	=	(	-0.608000	0.950000	15.986000	)	-1	7
7:	0.008909	0.001893	0.000431	7.151157	0.724958	=	(	-0.606000	0.947000	15.569000	)	-1	8
8:	0.009938	0.000657	0.000419	10.670404	0.433398	=	(	-0.600000	0.948000	15.883000	)	-1	9
9:	0.004185	0.004927	0.000159	5.910570	0.525225	=	(	-0.595000	0.946000	14.929000	)	-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:	0.0041852	0.0049275	0.0001594	5.9106	0.52523	= (	-0.595	0.946	14.929 )	1	10
1:	0.0042909	0.0031127	0.00016903	7.9914	0.72322	= (	-0.605	0.947	15.18 )	1	5
2:	0.006142	0.0072301	0.00030584	8.0414	0.78563	= (	-0.609	0.947	15.453 )	1	3
3:	0.0046297	0.0059589	0.00019722	6.8262	0.60825	= (	-0.601	0.946	15.104 )	1	4
4:	0.004952	0.0058049	0.00032127	6.0725	0.53092	= (	-0.598	0.947	15.161 )	2	2