dominant.dat

有趣的模拟进化的程序 由国外一生物学家开发 十分有趣

# Avida dominant data
# Fri Nov 28 19:59:43 2008
#  1: update
#  2: average merit of dominant genotype
#  3: average gestation time of dominant
#  4: average fitness of dominant genotype
#  5: repro rate?
#  6: size of dominant genotype
#  7: copied size of dominant genotype
#  8: executed size of dominant genotype
#  9: abundance of dominant genotype
# 10: number of births
# 11: number of dominant breed true?
# 12: dominant gene depth
# 13: dominant breed in
# 14: max fitness?
# 15: genotype ID of dominant genotype
# 16: name of dominant genotype

0 0.000000 0.000000 0.000000 0.000000 100 0.000000 0.000000 1 0 0 0 0 0.000000 1 100-aaaaa 
1 0 0 0 0 100 0 0 1 0 0 0 0 0 1 100-aaaaa 
2 0 0 0 0 100 0 0 1 0 0 0 0 0 1 100-aaaaa 
3 0 0 0 0 100 0 0 1 0 0 0 0 0 1 100-aaaaa 
4 0 0 0 0 100 0 0 1 0 0 0 0 0 1 100-aaaaa 
5 0 0 0 0 100 0 0 1 0 0 0 0 0 1 100-aaaaa 
6 0 0 0 0 100 0 0 1 0 0 0 0 0 1 100-aaaaa 
7 0 0 0 0 100 0 0 1 0 0 0 0 0 1 100-aaaaa 
8 0 0 0 0 100 0 0 1 0 0 0 0 0 1 100-aaaaa 
9 0 0 0 0 100 0 0 1 0 0 0 0 0 1 100-aaaaa 
10 0 0 0 0 100 0 0 1 0 0 0 0 0 1 100-aaaaa 
11 0 0 0 0 100 0 0 1 0 0 0 0 0 1 100-aaaaa 
12 0 0 0 0 100 0 0 2 1 1 0 0 0.249357 1 100-aaaaa 
13 0 0 0 0 100 0 0 2 0 0 0 0 0.249357 1 100-aaaaa 
14 0 0 0 0 100 0 0 2 0 0 0 0 0.249357 1 100-aaaaa 
15 0 0 0 0 100 0 0 2 0 0 0 0 0.249357 1 100-aaaaa 
16 0 0 0 0 100 0 0 2 0 0 0 0 0.249357 1 100-aaaaa 
17 0 0 0 0 100 0 0 2 0 0 0 0 0.249357 1 100-aaaaa 
18 0 0 0 0 100 0 0 2 0 0 0 0 0.249357 1 100-aaaaa 
19 0 0 0 0 100 0 0 2 0 0 0 0 0.249357 1 100-aaaaa 
20 0 0 0 0 100 0 0 2 0 0 0 0 0.249357 1 100-aaaaa 
21 0 0 0 0 100 0 0 2 0 0 0 0 0.249357 1 100-aaaaa 
22 0 0 0 0 100 0 0 2 0 0 0 0 0.249357 1 100-aaaaa 
23 0 0 0 0 100 0 0 2 0 0 0 0 0.249357 1 100-aaaaa 
24 0 0 0 0 100 0 0 2 0 0 0 0 0.249357 1 100-aaaaa 
25 97 389 0.249357 0.00257069 100 100 97 4 2 2 0 0 0.249357 1 100-aaaaa 
26 97 389 0.249357 0.00257069 100 100 97 4 0 0 0 0 0.249357 1 100-aaaaa 
27 97 389 0.249357 0.00257069 100 100 97 4 0 0 0 0 0.249357 1 100-aaaaa 
28 97 389 0.249357 0.00257069 100 100 97 4 0 0 0 0 0.249357 1 100-aaaaa 
29 97 389 0.249357 0.00257069 100 100 97 4 0 0 0 0 0.249357 1 100-aaaaa 
30 97 389 0.249357 0.00257069 100 100 97 4 0 0 0 0 0.249357 1 100-aaaaa 
31 97 389 0.249357 0.00257069 100 100 97 4 0 0 0 0 0.249357 1 100-aaaaa 
32 97 389 0.249357 0.00257069 100 100 97 4 0 0 0 0 0.249357 1 100-aaaaa 
33 97 389 0.249357 0.00257069 100 100 97 4 0 0 0 0 0.249357 1 100-aaaaa 
34 97 389 0.249357 0.00257069 100 100 97 4 0 0 0 0 0.249357 1 100-aaaaa 
35 97 389 0.249357 0.00257069 100 100 97 4 0 0 0 0 0.249357 1 100-aaaaa 
36 97 389 0.249357 0.00257069 100 100 97 4 0 0 0 0 0.249357 1 100-aaaaa 
37 97 389 0.249357 0.00257069 100 100 97 4 0 0 0 0 0.249357 1 100-aaaaa 
38 97 389 0.249357 0.00257069 100 100 97 7 4 3 0 0 0.249357 1 100-aaaaa 
39 97 389 0.249357 0.00257069 100 100 97 7 0 0 0 0 0.249357 1 100-aaaaa 
40 97 389 0.249357 0.00257069 100 100 97 7 0 0 0 0 0.249357 1 100-aaaaa 
41 97 389 0.249357 0.00257069 100 100 97 7 0 0 0 0 0.249357 1 100-aaaaa 
42 97 389 0.249357 0.00257069 100 100 97 7 0 0 0 0 0.249357 1 100-aaaaa 
43 97 389 0.249357 0.00257069 100 100 97 7 0 0 0 0 0.249357 1 100-aaaaa 
44 97 389 0.249357 0.00257069 100 100 97 7 0 0 0 0 0.249357 1 100-aaaaa 
45 97 389 0.249357 0.00257069 100 100 97 7 0 0 0 0 0.249357 1 100-aaaaa 
46 97 389 0.249357 0.00257069 100 100 97 7 0 0 0 0 0.249357 1 100-aaaaa 
47 97 389 0.249357 0.00257069 100 100 97 7 0 0 0 0 0.249357 1 100-aaaaa 
48 97 389 0.249357 0.00257069 100 100 97 7 0 0 0 0 0.249357 1 100-aaaaa 
49 97 389 0.249357 0.00257069 100 100 97 7 0 0 0 0 0.249357 1 100-aaaaa 
50 97 389 0.249357 0.00257069 100 100 97 7 0 0 0 0 0.249357 1 100-aaaaa 
51 97 389 0.249357 0.00257069 100 100 97 9 7 2 0 0 0.249357 1 100-aaaaa 
52 97 389 0.249357 0.00257069 100 100 97 9 0 0 0 0 0.249357 1 100-aaaaa 
53 97 389 0.249357 0.00257069 100 100 97 9 0 0 0 0 0.249357 1 100-aaaaa 
54 97 389 0.249357 0.00257069 100 100 97 9 0 0 0 0 0.249357 1 100-aaaaa 
55 97 389 0.249357 0.00257069 100 100 97 9 0 0 0 0 0.249357 1 100-aaaaa 
56 97 389 0.249357 0.00257069 100 100 97 9 0 0 0 0 0.249357 1 100-aaaaa 
57 97 389 0.249357 0.00257069 100 100 97 9 0 0 0 0 0.249357 1 100-aaaaa 
58 97 389 0.249357 0.00257069 100 100 97 9 0 0 0 0 0.249357 1 100-aaaaa 
59 97 389 0.249357 0.00257069 100 100 97 9 0 0 0 0 0.249357 1 100-aaaaa 
60 97 389 0.249357 0.00257069 100 100 97 9 0 0 0 0 0.249357 1 100-aaaaa 
61 97 389 0.249357 0.00257069 100 100 97 9 0 0 0 0 0.249357 1 100-aaaaa 
62 97 389 0.249357 0.00257069 100 100 97 9 0 0 0 0 0.249357 1 100-aaaaa 
63 97 389 0.249357 0.00257069 100 100 97 9 0 0 0 0 0.249357 1 100-aaaaa 
64 97 389 0.249357 0.00257069 100 100 97 12 5 3 0 0 0.25 1 100-aaaaa 
65 97 389 0.249357 0.00257069 100 100 97 12 4 0 0 0 0.25 1 100-aaaaa 
66 97 389 0.249357 0.00257069 100 100 97 12 0 0 0 0 0.25 1 100-aaaaa 
67 97 389 0.249357 0.00257069 100 100 97 12 0 0 0 0 0.25 1 100-aaaaa 
68 97 389 0.249357 0.00257069 100 100 97 12 0 0 0 0 0.25 1 100-aaaaa 
69 97 389 0.249357 0.00257069 100 100 97 12 0 0 0 0 0.25 1 100-aaaaa 
70 97 389 0.249357 0.00257069 100 100 97 12 0 0 0 0 0.25 1 100-aaaaa 
71 97 389 0.249357 0.00257069 100 100 97 12 0 0 0 0 0.25 1 100-aaaaa 
72 97 389 0.249357 0.00257069 100 100 97 12 0 0 0 0 0.25 1 100-aaaaa 
73 97 389 0.249357 0.00257069 100 100 97 12 0 0 0 0 0.25 1 100-aaaaa 
74 97 389 0.249357 0.00257069 100 100 97 12 0 0 0 0 0.25 1 100-aaaaa 
75 97 389 0.249357 0.00257069 100 100 97 12 0 0 0 0 0.25 1 100-aaaaa 
76 97 389 0.249357 0.00257069 100 100 97 12 0 0 0 0 0.25 1 100-aaaaa 
77 97 389 0.249357 0.00257069 100 100 97 13 11 5 0 0 0.251309 1 100-aaaaa 
78 97 389 0.249357 0.00257069 100 100 97 13 0 0 0 0 0.251309 1 100-aaaaa 
79 97 389 0.249357 0.00257069 100 100 97 13 0 0 0 0 0.251309 1 100-aaaaa 
80 97 389 0.249357 0.00257069 100 100 97 13 0 0 0 0 0.251309 1 100-aaaaa 
81 97 389 0.249357 0.00257069 100 100 97 13 0 0 0 0 0.251309 1 100-aaaaa 
82 97 389 0.249357 0.00257069 100 100 97 13 0 0 0 0 0.251309 1 100-aaaaa 
83 97 389 0.249357 0.00257069 100 100 97 13 0 0 0 0 0.251309 1 100-aaaaa 
84 97 389 0.249357 0.00257069 100 100 97 13 0 0 0 0 0.251309 1 100-aaaaa 
85 97 389 0.249357 0.00257069 100 100 97 13 0 0 0 0 0.251309 1 100-aaaaa 
86 97 389 0.249357 0.00257069 100 100 97 13 0 0 0 0 0.251309 1 100-aaaaa 
87 97 389 0.249357 0.00257069 100 100 97 13 0 0 0 0 0.251309 1 100-aaaaa 
88 97 389 0.249357 0.00257069 100 100 97 13 0 0 0 0 0.251309 1 100-aaaaa 
89 97 389 0.249357 0.00257069 100 100 97 13 0 0 0 0 0.251309 1 100-aaaaa 
90 97 389 0.249357 0.00257069 100 100 97 11 8 4 0 0 0.251969 1 100-aaaaa 
91 97 389 0.249357 0.00257069 100 100 97 11 0 0 0 0 0.251969 1 100-aaaaa 
92 97 389 0.249357 0.00257069 100 100 97 11 0 0 0 0 0.251969 1 100-aaaaa 
93 97 389 0.249357 0.00257069 100 100 97 11 0 0 0 0 0.251969 1 100-aaaaa 
94 97 389 0.249357 0.00257069 100 100 97 11 0 0 0 0 0.251969 1 100-aaaaa 
95 97 389 0.249357 0.00257069 100 100 97 11 0 0 0 0 0.251969 1 100-aaaaa 
96 97 389 0.249357 0.00257069 100 100 97 11 0 0 0 0 0.251969 1 100-aaaaa 
97 97 389 0.249357 0.00257069 100 100 97 11 0 0 0 0 0.251969 1 100-aaaaa 
98 97 389 0.249357 0.00257069 100 100 97 11 0 0 0 0 0.251969 1 100-aaaaa 
99 97 389 0.249357 0.00257069 100 100 97 10 0 0 0 0 0.251969 1 100-aaaaa 
100 97 389 0.249357 0.00257069 100 100 97 10 0 0 0 0 0.251969 1 100-aaaaa 
101 97 389 0.249357 0.00257069 100 100 97 10 0 0 0 0 0.251969 1 100-aaaaa 
102 97 389 0.249357 0.00257069 100 100 97 10 0 0 0 0 0.252632 1 100-aaaaa 
103 97 389 0.249357 0.00257069 100 100 97 14 7 6 0 0 0.252632 1 100-aaaaa 
104 97 389 0.249357 0.00257069 100 100 97 14 0 0 0 0 0.252632 1 100-aaaaa 
105 97 389 0.249357 0.00257069 100 100 97 14 0 0 0 0 0.252632 1 100-aaaaa 
106 97 389 0.249357 0.00257069 100 100 97 14 0 0 0 0 0.252632 1 100-aaaaa 
107 97 389 0.249357 0.00257069 100 100 97 14 0 0 0 0 0.252632 1 100-aaaaa 
108 97 389 0.249357 0.00257069 100 100 97 14 0 0 0 0 0.252632 1 100-aaaaa 
109 97 389 0.249357 0.00257069 100 100 97 14 0 0 0 0 0.252632 1 100-aaaaa 
110 97 389 0.249357 0.00257069 100 100 97 14 0 0 0 0 0.252632 1 100-aaaaa 
111 97 389 0.249357 0.00257069 100 100 97 14 0 0 0 0 0.252632 1 100-aaaaa 
112 97 389 0.249357 0.00257069 100 100 97 14 0 0 0 0 0.252632 1 100-aaaaa 
113 97 389 0.249357 0.00257069 100 100 97 14 0 0 0 0 0.252632 1 100-aaaaa 
114 97 389 0.249357 0.00257069 100 100 97 14 0 0 0 0 0.252632 1 100-aaaaa 
115 97 389 0.249357 0.00257069 100 100 97 11 0 0 0 0 0.253886 1 100-aaaaa 
116 97 389 0.249357 0.00257069 100 100 97 15 10 6 0 0 0.253886 1 100-aaaaa 
117 97 389 0.249357 0.00257069 100 100 97 15 0 0 0 0 0.253886 1 100-aaaaa 
118 97 389 0.249357 0.00257069 100 100 97 15 0 0 0 0 0.253886 1 100-aaaaa 
119 97 389 0.249357 0.00257069 100 100 97 15 0 0 0 0 0.253886 1 100-aaaaa 
120 97 389 0.249357 0.00257069 100 100 97 15 0 0 0 0 0.253886 1 100-aaaaa 
121 97 389 0.249357 0.00257069 100 100 97 15 0 0 0 0 0.253886 1 100-aaaaa 
122 97 389 0.249357 0.00257069 100 100 97 15 0 0 0 0 0.253886 1 100-aaaaa 
123 97 389 0.249357 0.00257069 100 100 97 15 0 0 0 0 0.253886 1 100-aaaaa 
124 97 389 0.249357 0.00257069 100 100 97 15 0 0 0 0 0.253886 1 100-aaaaa 
125 97 389 0.249357 0.00257069 100 100 97 15 0 0 0 0 0.253886 1 100-aaaaa 
126 97 389 0.249357 0.00257069 100 100 97 15 0 0 0 0 0.253886 1 100-aaaaa 
127 97 389 0.249357 0.00257069 100 100 97 15 0 0 0 0 0.253886 1 100-aaaaa 
128 97 389 0.249357 0.00257069 100 100 97 17 6 3 0 0 0.253886 1 100-aaaaa 
129 97 389 0.249357 0.00257069 100 100 97 18 7 5 0 0 0.253886 1 100-aaaaa 
130 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253886 1 100-aaaaa 
131 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253886 1 100-aaaaa 
132 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253886 1 100-aaaaa 
133 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253886 1 100-aaaaa 
134 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253886 1 100-aaaaa 
135 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253886 1 100-aaaaa 
136 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253886 1 100-aaaaa 
137 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253886 1 100-aaaaa 
138 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253886 1 100-aaaaa 
139 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253886 1 100-aaaaa 
140 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253968 1 100-aaaaa 
141 97 389 0.249357 0.00257069 100 100 97 18 13 7 0 0 0.253968 1 100-aaaaa 
142 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253968 1 100-aaaaa 
143 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253968 1 100-aaaaa 
144 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253968 1 100-aaaaa 
145 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253968 1 100-aaaaa 
146 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253968 1 100-aaaaa 
147 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253968 1 100-aaaaa 
148 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253968 1 100-aaaaa 
149 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253968 1 100-aaaaa 
150 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253968 1 100-aaaaa 
151 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253968 1 100-aaaaa 
152 97 389 0.249357 0.00257069 100 100 97 18 0 0 0 0 0.253968 1 100-aaaaa 
153 97 389 0.249357 0.00257069 100 100 97 17 0 0 0 0 0.254642 1 100-aaaaa 
154 97 389 0.249357 0.00257069 100 100 97 18 16 7 0 0 0.254642 1 100-aaaaa