Determining starting parameters...
==========
	LC3	LC4	RainLAI	OMLAI8	SIeff8
0:	0.004443	0.005109	0.000230	9.251266	0.615899	=	(	-0.000000	4.892000	9.051000	)	-1	1
1:	0.006541	0.006187	0.000079	11.846790	0.539221	=	(	-0.000000	4.893000	9.071000	)	-1	2
2:	0.002734	0.002207	0.000274	12.226862	0.759575	=	(	-0.000000	4.892000	9.043000	)	-1	3
3:	0.001691	0.004498	0.000238	8.530954	0.684590	=	(	-0.000000	4.890000	8.914000	)	-1	4
4:	0.006867	0.002694	0.000351	6.112076	0.752396	=	(	-0.000000	4.893000	9.060000	)	-1	5
5:	0.008797	0.009938	0.000149	14.619244	0.710799	=	(	-0.000000	4.895000	9.173000	)	-1	6
6:	0.005211	0.004964	0.000147	6.199650	0.657553	=	(	-0.000000	4.890000	8.931000	)	-1	7
7:	0.000907	0.004882	0.000405	9.922209	0.481027	=	(	-0.000000	4.892000	9.171000	)	-1	8
8:	0.008734	0.001257	0.000159	8.003620	0.547790	=	(	-0.000000	4.894000	9.138000	)	-1	9
9:	0.000935	0.009666	0.000348	5.173761	0.405803	=	(	-0.000000	4.890000	9.036000	)	-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:	0.0016908	0.0044976	0.0002379	8.531	0.68459	= (	-0	4.89	8.914 )	1	4
1:	0.0052115	0.0049643	0.00014669	6.1996	0.65755	= (	-0	4.89	8.931 )	2	7
2:	0.00093536	0.0096656	0.00034827	5.1738	0.4058	= (	-0	4.89	9.036 )	3	10
3:	0.0027344	0.0022073	0.00027393	12.227	0.75958	= (	-0	4.892	9.043 )	4	3
4:	0.0044429	0.0051095	0.00023029	9.2513	0.6159	= (	-0	4.892	9.051 )	5	1