Determining starting parameters...
==========
	LC3	LC4	RainLAI	OMLAI8	SIeff8
0:	0.004972	0.006659	0.000147	12.658135	0.479819	=	(	-0.495000	-0.559000	-0.608000	)	-1	1
1:	0.009934	0.002137	0.000366	13.011666	0.620269	=	(	-0.420000	-0.429000	-0.541000	)	-1	2
2:	0.009491	0.002299	0.000419	12.104120	0.666193	=	(	-0.425000	-0.430000	-0.542000	)	-1	3
3:	0.006917	0.009531	0.000351	10.209762	0.412423	=	(	-0.464000	-0.487000	-0.567000	)	-1	4
4:	0.001332	0.004241	0.000364	9.338140	0.587573	=	(	-0.523000	-0.648000	-0.668000	)	-1	5
5:	0.007377	0.002211	0.000095	9.754694	0.505842	=	(	-0.511000	-0.591000	-0.653000	)	-1	6
6:	0.006451	0.002748	0.000331	7.416806	0.485178	=	(	-0.505000	-0.565000	-0.636000	)	-1	7
7:	0.007948	0.009836	0.000254	12.721060	0.420641	=	(	-0.448000	-0.461000	-0.546000	)	-1	8
8:	0.006043	0.007393	0.000368	7.645020	0.481027	=	(	-0.501000	-0.542000	-0.611000	)	-1	9
9:	0.003111	0.009342	0.000337	8.470397	0.721999	=	(	-0.531000	-0.598000	-0.632000	)	-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:	0.003111	0.0093425	0.00033741	8.4704	0.722	= (	-0.531	-0.598	-0.632 )	1	10
1:	0.0013318	0.0042413	0.0003643	9.3381	0.58757	= (	-0.523	-0.648	-0.668 )	1	5
2:	0.0073768	0.002211	9.4656e-05	9.7547	0.50584	= (	-0.511	-0.591	-0.653 )	2	6
3:	0.0064509	0.0027484	0.00033137	7.4168	0.48518	= (	-0.505	-0.565	-0.636 )	3	7
4:	0.004972	0.0066592	0.00014743	12.658	0.47982	= (	-0.495	-0.559	-0.608 )	4	1