diff --git a/dataFrame_Homberger_ARCHIVE.tsv b/dataFrame_Homberger_ARCHIVE.tsv
new file mode 100644
index 0000000000000000000000000000000000000000..d2c5e2ee8db6b06ee8a963111f6a7c1c0ca5b2e6
--- /dev/null
+++ b/dataFrame_Homberger_ARCHIVE.tsv
@@ -0,0 +1,21601 @@
+Category	ID	Algorithm	idRun	Time	Size	HV	IGD+
+C1	_2_1	learningMols-linearG-0	1	0.0	1.0	0.1317	471.1500000000001
+C1	_2_1	learningMols-linearG-0	1	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	2	0.0	2.0	0.00856	531.9503766475673
+C1	_2_1	learningMols-linearG-0	2	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	3	0.0	2.0	0.03658	393.543476902644
+C1	_2_1	learningMols-linearG-0	3	600	9.0	0.73439	142.5
+C1	_2_1	learningMols-linearG-0	4	0.0	1.0	0.72577	148.3499999999999
+C1	_2_1	learningMols-linearG-0	4	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	5	0.0	2.0	0.01558	432.9442223097151
+C1	_2_1	learningMols-linearG-0	5	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	6	0.0	1.0	0.08515	496.4500000000003
+C1	_2_1	learningMols-linearG-0	6	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	7	0.0	2.0	0.38661	254.37196365543417
+C1	_2_1	learningMols-linearG-0	7	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	8	0.0	2.0	0.0	578.5739330327168
+C1	_2_1	learningMols-linearG-0	8	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	9	0.0	2.0	0.41001	290.90064811469045
+C1	_2_1	learningMols-linearG-0	9	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	10	0.0	3.0	0.0389	494.618956951316
+C1	_2_1	learningMols-linearG-0	10	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	11	0.0	1.0	0.0	580.75
+C1	_2_1	learningMols-linearG-0	11	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	12	0.0	2.0	0.17659	328.6659138620398
+C1	_2_1	learningMols-linearG-0	12	600	20.0	0.71206	155.20000000000005
+C1	_2_1	learningMols-linearG-0	13	0.0	2.0	0.31656	363.15581755992264
+C1	_2_1	learningMols-linearG-0	13	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	14	0.0	2.0	0.36963	333.0563460903326
+C1	_2_1	learningMols-linearG-0	14	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	15	0.0	3.0	0.21048	412.0950596383842
+C1	_2_1	learningMols-linearG-0	15	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	16	0.0	7.0	0.0	619.650795999077
+C1	_2_1	learningMols-linearG-0	16	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	17	0.0	4.0	0.0	563.2918210534795
+C1	_2_1	learningMols-linearG-0	17	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	18	0.0	3.0	0.12801	392.15051750506564
+C1	_2_1	learningMols-linearG-0	18	600	15.0	0.81672	97.10000000000014
+C1	_2_1	learningMols-linearG-0	19	0.0	1.0	0.16943	450.6500000000001
+C1	_2_1	learningMols-linearG-0	19	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	20	0.0	2.0	0.01681	481.85764696701153
+C1	_2_1	learningMols-linearG-0	20	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	21	0.0	2.0	0.00769	537.8054093839555
+C1	_2_1	learningMols-linearG-0	21	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	22	0.0	3.0	0.26383	222.8996072704029
+C1	_2_1	learningMols-linearG-0	22	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	23	0.0	5.0	0.13165	427.2667402573594
+C1	_2_1	learningMols-linearG-0	23	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	24	0.0	2.0	0.17863	394.6115920812624
+C1	_2_1	learningMols-linearG-0	24	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	25	0.0	2.0	0.10693	474.80284821789826
+C1	_2_1	learningMols-linearG-0	25	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	26	0.0	3.0	0.00837	501.364172796106
+C1	_2_1	learningMols-linearG-0	26	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	27	0.0	3.0	0.04356	486.78295371357126
+C1	_2_1	learningMols-linearG-0	27	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	28	0.0	4.0	0.0	719.0616704262634
+C1	_2_1	learningMols-linearG-0	28	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	29	0.0	1.0	0.0	559.1500000000001
+C1	_2_1	learningMols-linearG-0	29	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-linearG-0	30	0.0	2.0	0.24278	404.16811548665305
+C1	_2_1	learningMols-linearG-0	30	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	1	0.0	1.0	0.1317	471.1500000000001
+C1	_2_1	learningMols-problemG-0	1	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	2	0.0	2.0	0.00856	531.9503766475673
+C1	_2_1	learningMols-problemG-0	2	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	3	0.0	2.0	0.03658	393.543476902644
+C1	_2_1	learningMols-problemG-0	3	600	9.0	0.73678	141.20000000000027
+C1	_2_1	learningMols-problemG-0	4	0.0	1.0	0.72577	148.3499999999999
+C1	_2_1	learningMols-problemG-0	4	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	5	0.0	2.0	0.01558	432.9442223097151
+C1	_2_1	learningMols-problemG-0	5	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	6	0.0	1.0	0.08515	496.4500000000003
+C1	_2_1	learningMols-problemG-0	6	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	7	0.0	2.0	0.38661	254.37196365543417
+C1	_2_1	learningMols-problemG-0	7	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	8	0.0	2.0	0.0	578.5739330327168
+C1	_2_1	learningMols-problemG-0	8	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	9	0.0	2.0	0.41001	290.90064811469045
+C1	_2_1	learningMols-problemG-0	9	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	10	0.0	3.0	0.0389	494.618956951316
+C1	_2_1	learningMols-problemG-0	10	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	11	0.0	1.0	0.0	580.75
+C1	_2_1	learningMols-problemG-0	11	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	12	0.0	2.0	0.17659	328.6659138620398
+C1	_2_1	learningMols-problemG-0	12	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	13	0.0	2.0	0.31656	363.15581755992264
+C1	_2_1	learningMols-problemG-0	13	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	14	0.0	2.0	0.36963	333.0563460903326
+C1	_2_1	learningMols-problemG-0	14	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	15	0.0	3.0	0.21048	412.0950596383842
+C1	_2_1	learningMols-problemG-0	15	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	16	0.0	7.0	0.0	619.650795999077
+C1	_2_1	learningMols-problemG-0	16	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	17	0.0	4.0	0.0	563.2918210534795
+C1	_2_1	learningMols-problemG-0	17	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	18	0.0	3.0	0.12801	392.15051750506564
+C1	_2_1	learningMols-problemG-0	18	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	19	0.0	1.0	0.16943	450.6500000000001
+C1	_2_1	learningMols-problemG-0	19	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	20	0.0	2.0	0.01681	481.85764696701153
+C1	_2_1	learningMols-problemG-0	20	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	21	0.0	2.0	0.00769	537.8054093839555
+C1	_2_1	learningMols-problemG-0	21	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	22	0.0	3.0	0.26383	222.8996072704029
+C1	_2_1	learningMols-problemG-0	22	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	23	0.0	5.0	0.13165	427.2667402573594
+C1	_2_1	learningMols-problemG-0	23	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	24	0.0	2.0	0.17863	394.6115920812624
+C1	_2_1	learningMols-problemG-0	24	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	25	0.0	2.0	0.10693	474.80284821789826
+C1	_2_1	learningMols-problemG-0	25	600	10.0	0.74152	135.94237749870365
+C1	_2_1	learningMols-problemG-0	26	0.0	3.0	0.00837	501.364172796106
+C1	_2_1	learningMols-problemG-0	26	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	27	0.0	3.0	0.04356	486.78295371357126
+C1	_2_1	learningMols-problemG-0	27	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	28	0.0	4.0	0.0	719.0616704262634
+C1	_2_1	learningMols-problemG-0	28	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	29	0.0	1.0	0.0	559.1500000000001
+C1	_2_1	learningMols-problemG-0	29	600	2.0	0.99664	0.0
+C1	_2_1	learningMols-problemG-0	30	0.0	2.0	0.24278	404.16811548665305
+C1	_2_1	learningMols-problemG-0	30	600	2.0	0.99664	0.0
+C1	_2_1	learningMoead-linearG-0	1	0.0	1.0	0.1317	472.9000000000001
+C1	_2_1	learningMoead-linearG-0	1	600	5.0	0.70552	159.0
+C1	_2_1	learningMoead-linearG-0	2	0.0	2.0	0.00856	532.9000000000001
+C1	_2_1	learningMoead-linearG-0	2	600	2.0	0.99556	3.5
+C1	_2_1	learningMoead-linearG-0	3	0.0	2.0	0.03658	393.0
+C1	_2_1	learningMoead-linearG-0	3	600	5.0	0.73331	145.30000000000018
+C1	_2_1	learningMoead-linearG-0	4	0.0	1.0	0.72577	150.0999999999999
+C1	_2_1	learningMoead-linearG-0	4	600	3.0	0.72577	149.4000000000001
+C1	_2_1	learningMoead-linearG-0	5	0.0	2.0	0.01558	398.4000000000001
+C1	_2_1	learningMoead-linearG-0	5	600	2.0	0.99556	3.5
+C1	_2_1	learningMoead-linearG-0	6	0.0	1.0	0.08515	498.2000000000003
+C1	_2_1	learningMoead-linearG-0	6	600	2.0	0.44824	299.8000000000002
+C1	_2_1	learningMoead-linearG-0	7	0.0	2.0	0.38661	253.30000000000018
+C1	_2_1	learningMoead-linearG-0	7	600	6.0	0.76245	121.40000000000009
+C1	_2_1	learningMoead-linearG-0	8	0.0	2.0	0.0	578.7000000000003
+C1	_2_1	learningMoead-linearG-0	8	600	2.0	0.99556	3.5
+C1	_2_1	learningMoead-linearG-0	9	0.0	2.0	0.41001	292.5
+C1	_2_1	learningMoead-linearG-0	9	600	4.0	0.75557	133.9000000000001
+C1	_2_1	learningMoead-linearG-0	10	0.0	3.0	0.0389	491.2000000000003
+C1	_2_1	learningMoead-linearG-0	10	600	2.0	0.99556	3.5
+C1	_2_1	learningMoead-linearG-0	11	0.0	1.0	0.0	582.5
+C1	_2_1	learningMoead-linearG-0	11	600	1.0	0.45855	295.3000000000002
+C1	_2_1	learningMoead-linearG-0	12	0.0	2.0	0.17659	329.3000000000002
+C1	_2_1	learningMoead-linearG-0	12	600	4.0	0.73257	145.5
+C1	_2_1	learningMoead-linearG-0	13	0.0	2.0	0.31656	364.9000000000001
+C1	_2_1	learningMoead-linearG-0	13	600	2.0	0.99556	3.5
+C1	_2_1	learningMoead-linearG-0	14	0.0	2.0	0.36963	334.8000000000002
+C1	_2_1	learningMoead-linearG-0	14	600	2.0	0.49867	272.8000000000002
+C1	_2_1	learningMoead-linearG-0	15	0.0	2.0	0.21048	413.8000000000002
+C1	_2_1	learningMoead-linearG-0	15	600	5.0	0.77002	125.59999999999991
+C1	_2_1	learningMoead-linearG-0	16	0.0	6.0	0.0	618.4000000000001
+C1	_2_1	learningMoead-linearG-0	16	600	5.0	0.7709	124.80000000000018
+C1	_2_1	learningMoead-linearG-0	17	0.0	4.0	0.0	562.5999999999999
+C1	_2_1	learningMoead-linearG-0	17	600	2.0	0.99556	3.5
+C1	_2_1	learningMoead-linearG-0	18	0.0	2.0	0.12714	393.0
+C1	_2_1	learningMoead-linearG-0	18	600	4.0	0.58201	220.9000000000001
+C1	_2_1	learningMoead-linearG-0	19	0.0	1.0	0.16943	452.4000000000001
+C1	_2_1	learningMoead-linearG-0	19	600	4.0	0.43259	305.0999999999999
+C1	_2_1	learningMoead-linearG-0	20	0.0	2.0	0.01681	481.8000000000002
+C1	_2_1	learningMoead-linearG-0	20	600	2.0	0.99556	3.5
+C1	_2_1	learningMoead-linearG-0	21	0.0	2.0	0.00769	539.5
+C1	_2_1	learningMoead-linearG-0	21	600	2.0	0.99556	3.5
+C1	_2_1	learningMoead-linearG-0	22	0.0	3.0	0.26383	223.0
+C1	_2_1	learningMoead-linearG-0	22	600	2.0	0.99556	3.5
+C1	_2_1	learningMoead-linearG-0	23	0.0	3.0	0.13154	428.0
+C1	_2_1	learningMoead-linearG-0	23	600	1.0	0.99556	3.5
+C1	_2_1	learningMoead-linearG-0	24	0.0	2.0	0.17863	392.7000000000003
+C1	_2_1	learningMoead-linearG-0	24	600	1.0	0.99556	3.5
+C1	_2_1	learningMoead-linearG-0	25	0.0	2.0	0.10693	476.5
+C1	_2_1	learningMoead-linearG-0	25	600	3.0	0.49821	269.9000000000001
+C1	_2_1	learningMoead-linearG-0	26	0.0	3.0	0.00837	501.2000000000003
+C1	_2_1	learningMoead-linearG-0	26	600	4.0	0.74513	138.5
+C1	_2_1	learningMoead-linearG-0	27	0.0	2.0	0.04356	487.7000000000003
+C1	_2_1	learningMoead-linearG-0	27	600	8.0	0.55142	234.5
+C1	_2_1	learningMoead-linearG-0	28	0.0	4.0	0.0	720.7000000000003
+C1	_2_1	learningMoead-linearG-0	28	600	4.0	0.74513	138.5
+C1	_2_1	learningMoead-linearG-0	29	0.0	1.0	0.0	560.9000000000001
+C1	_2_1	learningMoead-linearG-0	29	600	7.0	0.28311	366.5999999999999
+C1	_2_1	learningMoead-linearG-0	30	0.0	2.0	0.24278	405.9000000000001
+C1	_2_1	learningMoead-linearG-0	30	600	2.0	0.99556	3.5
+C1	_2_1	learningMoead-problemG-0	1	0.0	1.0	0.1317	472.9000000000001
+C1	_2_1	learningMoead-problemG-0	1	600	5.0	0.70552	159.0
+C1	_2_1	learningMoead-problemG-0	2	0.0	2.0	0.00856	532.9000000000001
+C1	_2_1	learningMoead-problemG-0	2	600	2.0	0.99556	3.5
+C1	_2_1	learningMoead-problemG-0	3	0.0	2.0	0.03658	393.0
+C1	_2_1	learningMoead-problemG-0	3	600	6.0	0.73331	146.0
+C1	_2_1	learningMoead-problemG-0	4	0.0	1.0	0.72577	150.0999999999999
+C1	_2_1	learningMoead-problemG-0	4	600	3.0	0.72577	149.4000000000001
+C1	_2_1	learningMoead-problemG-0	5	0.0	2.0	0.01558	398.4000000000001
+C1	_2_1	learningMoead-problemG-0	5	600	2.0	0.99556	3.5
+C1	_2_1	learningMoead-problemG-0	6	0.0	1.0	0.08515	498.2000000000003
+C1	_2_1	learningMoead-problemG-0	6	600	4.0	0.72211	146.5999999999999
+C1	_2_1	learningMoead-problemG-0	7	0.0	2.0	0.38661	253.30000000000018
+C1	_2_1	learningMoead-problemG-0	7	600	2.0	0.99664	0.0
+C1	_2_1	learningMoead-problemG-0	8	0.0	2.0	0.0	578.7000000000003
+C1	_2_1	learningMoead-problemG-0	8	600	2.0	0.99556	3.5
+C1	_2_1	learningMoead-problemG-0	9	0.0	2.0	0.41001	292.5
+C1	_2_1	learningMoead-problemG-0	9	600	8.0	0.71427	151.80000000000018
+C1	_2_1	learningMoead-problemG-0	10	0.0	3.0	0.0389	491.2000000000003
+C1	_2_1	learningMoead-problemG-0	10	600	2.0	0.99556	3.5
+C1	_2_1	learningMoead-problemG-0	11	0.0	1.0	0.0	582.5
+C1	_2_1	learningMoead-problemG-0	11	600	5.0	0.2943	328.9000000000001
+C1	_2_1	learningMoead-problemG-0	12	0.0	2.0	0.17659	329.3000000000002
+C1	_2_1	learningMoead-problemG-0	12	600	2.0	0.99556	3.5
+C1	_2_1	learningMoead-problemG-0	13	0.0	2.0	0.31656	364.9000000000001
+C1	_2_1	learningMoead-problemG-0	13	600	2.0	0.72116	151.9000000000001
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+RC2	_2_10	moeadls-0	4	0.0	3.0	0.18077	718.4000000000001
+RC2	_2_10	moeadls-0	4	600	20.0	0.62573	319.4000000000001
+RC2	_2_10	moeadls-0	5	0.0	4.0	0.22685	678.0
+RC2	_2_10	moeadls-0	5	600	17.0	0.67172	274.5999999999999
+RC2	_2_10	moeadls-0	6	0.0	2.0	0.21391	689.8000000000002
+RC2	_2_10	moeadls-0	6	600	10.0	0.84858	81.40000000000009
+RC2	_2_10	moeadls-0	7	0.0	5.0	0.33574	580.3000000000002
+RC2	_2_10	moeadls-0	7	600	20.0	0.59433	317.0
+RC2	_2_10	moeadls-0	8	0.0	3.0	0.23896	667.7000000000003
+RC2	_2_10	moeadls-0	8	600	11.0	0.59753	296.2000000000003
+RC2	_2_10	moeadls-0	9	0.0	6.0	0.20124	698.0
+RC2	_2_10	moeadls-0	9	600	15.0	0.63677	268.9000000000001
+RC2	_2_10	moeadls-0	10	0.0	5.0	0.15706	737.5999999999999
+RC2	_2_10	moeadls-0	10	600	15.0	0.7154	227.80000000000018
+RC2	_2_10	moeadls-0	11	0.0	3.0	0.19835	702.8000000000002
+RC2	_2_10	moeadls-0	11	600	16.0	0.66763	329.2000000000003
+RC2	_2_10	moeadls-0	12	0.0	5.0	0.25296	654.3000000000002
+RC2	_2_10	moeadls-0	12	600	5.0	0.65756	249.79999999999973
+RC2	_2_10	moeadls-0	13	0.0	3.0	0.26934	641.0999999999999
+RC2	_2_10	moeadls-0	13	600	19.0	0.76337	185.29999999999973
+RC2	_2_10	moeadls-0	14	0.0	3.0	0.21155	686.3000000000002
+RC2	_2_10	moeadls-0	14	600	6.0	0.75383	212.9000000000001
+RC2	_2_10	moeadls-0	15	0.0	4.0	0.24349	663.0999999999999
+RC2	_2_10	moeadls-0	15	600	6.0	0.50852	436.0999999999999
+RC2	_2_10	moeadls-0	16	0.0	3.0	0.13076	762.5
+RC2	_2_10	moeadls-0	16	600	17.0	0.73125	228.9000000000001
+RC2	_2_10	moeadls-0	17	0.0	5.0	0.07614	809.5999999999999
+RC2	_2_10	moeadls-0	17	600	7.0	0.60248	418.5999999999999
+RC2	_2_10	moeadls-0	18	0.0	4.0	0.31744	583.3000000000002
+RC2	_2_10	moeadls-0	18	600	8.0	0.53244	393.7000000000003
+RC2	_2_10	moeadls-0	19	0.0	5.0	0.11433	776.8000000000002
+RC2	_2_10	moeadls-0	19	600	8.0	0.69326	256.2999999999997
+RC2	_2_10	moeadls-0	20	0.0	3.0	0.26117	647.2000000000003
+RC2	_2_10	moeadls-0	20	600	20.0	0.74107	238.80000000000018
+RC2	_2_10	moeadls-0	21	0.0	3.0	0.07969	807.2000000000003
+RC2	_2_10	moeadls-0	21	600	8.0	0.61935	359.6999999999998
+RC2	_2_10	moeadls-0	22	0.0	4.0	0.22688	677.0
+RC2	_2_10	moeadls-0	22	600	11.0	0.66433	279.8000000000002
+RC2	_2_10	moeadls-0	23	0.0	3.0	0.17481	724.0
+RC2	_2_10	moeadls-0	23	600	10.0	0.66363	248.5
+RC2	_2_10	moeadls-0	24	0.0	4.0	0.19413	705.8000000000002
+RC2	_2_10	moeadls-0	24	600	12.0	0.6517	250.0999999999999
+RC2	_2_10	moeadls-0	25	0.0	3.0	0.24617	661.4000000000001
+RC2	_2_10	moeadls-0	25	600	22.0	0.71265	212.0
+RC2	_2_10	moeadls-0	26	0.0	4.0	0.25864	648.7000000000003
+RC2	_2_10	moeadls-0	26	600	7.0	0.5579	349.0
+RC2	_2_10	moeadls-0	27	0.0	4.0	0.20361	698.5999999999999
+RC2	_2_10	moeadls-0	27	600	15.0	0.7401	172.80000000000018
+RC2	_2_10	moeadls-0	28	0.0	5.0	0.18433	714.0999999999999
+RC2	_2_10	moeadls-0	28	600	8.0	0.72601	279.5
+RC2	_2_10	moeadls-0	29	0.0	3.0	0.22838	675.0999999999999
+RC2	_2_10	moeadls-0	29	600	21.0	0.77643	130.9000000000001
+RC2	_2_10	moeadls-0	30	0.0	6.0	0.3523	557.2000000000003
+RC2	_2_10	moeadls-0	30	600	17.0	0.72555	201.5