Determining starting parameters...
==========
	LC3	LC4	RainLAI	OMLAI8	SIeff8
0:	0.007037	0.007562	0.000439	8.506516	0.700002	=	(	-0.493000	-0.737000	)	-1	1
1:	0.006983	0.004952	0.000146	12.703819	0.433631	=	(	-0.483000	-0.735000	)	-1	2
2:	0.001190	0.000442	0.000188	5.584405	0.540632	=	(	-0.455000	-0.731000	)	-1	3
3:	0.000611	0.002719	0.000436	13.205273	0.796921	=	(	-0.467000	-0.721000	)	-1	4
4:	0.009891	0.000294	0.000362	7.431133	0.452790	=	(	-0.465000	-0.727000	)	-1	5
5:	0.006839	0.007272	0.000260	14.432751	0.550455	=	(	-0.499000	-0.737000	)	-1	6
6:	0.009835	0.000858	0.000466	10.752501	0.730471	=	(	-0.489000	-0.731000	)	-1	7
7:	0.006981	0.000272	0.000414	13.739245	0.480556	=	(	-0.498000	-0.734000	)	-1	8
8:	0.008750	0.000947	0.000132	8.069220	0.433398	=	(	-0.460000	-0.727000	)	-1	9
9:	0.002226	0.006688	0.000268	12.251020	0.717100	=	(	-0.500000	-0.741000	)	-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 	rank	soln_num

0:	0.0022259	0.0066883	0.00026772	12.251	0.7171	= (	-0.5	-0.741 )	1	10
1:	0.0068389	0.0072716	0.00025979	14.433	0.55045	= (	-0.499	-0.737 )	2	6
2:	0.0070373	0.0075622	0.00043868	8.5065	0.7	= (	-0.493	-0.737 )	3	1
3:	0.0069807	0.00027202	0.00041363	13.739	0.48056	= (	-0.498	-0.734 )	3	8
4:	0.0098347	0.00085806	0.00046571	10.753	0.73047	= (	-0.489	-0.731 )	4	7

