Using Multiple Criteria Optimization and Two-Stage Genetic Algorithms to Select a Population Management Strategy with Optimized Reliability

Table 2

The ages of the 200 units from the current population to be consumed.

24.6	68.4	44.8	82.5	47.9	20.7	51.0	86.5	32.6	51.3
56.9	54.6	70.9	54.4	53.0	67.3	66.2	91.5	97.1	18.1
87.7	60.8	27.9	74.9	32.5	64.4	79.3	66.3	38.0	38.5
88.6	85.5	42.4	22.4	39.3	30.0	97.3	53.8	67.1	72.9
46.0	50.0	80.5	53.7	68.0	52.9	80.3	66.1	98.7	20.5
78.8	36.0	76.6	89.1	54.7	30.4	16.6	25.9	87.2	80.2
68.1	19.0	49.4	61.4	28.6	67.2	69.1	20.3	37.7	92.5
35.1	58.8	19.4	84.9	30.9	88.7	39.9	72.1	81.5	91.9
80.4	35.5	46.2	29.1	30.3	88.7	90.8	52.6	19.8	74.7
88.3	76.6	77.0	23.9	69.5	59.0	67.1	60.2	95.2	57.1
90.3	57.7	68.7	29.4	49.7	83.4	62.9	42.7	61.4	20.8
20.6	67.3	78.6	19.4	61.5	18.9	26.5	69.7	90.9	80.4
71.5	92.4	93.5	82.9	17.8	63.4	45.2	39.1	83.4	49.5
52.2	38.2	56.5	86.1	60.0	64.7	34.8	45.4	25.7	58.2
31.2	29.3	19.0	92.1	69.6	94.1	67.8	98.0	21.3	39.1
32.7	39.1	73.6	88.9	98.8	48.8	71.8	23.2	96.3	74.0
95.9	73.8	96.2	37.4	84.8	68.5	73.4	59.3	73.6	73.7
93.1	15.2	74.1	87.8	77.7	31.3	32.7	32.2	49.3	36.5
60.0	22.1	95.6	31.9	91.2	23.4	86.8	74.5	20.8	83.5
24.0	18.7	99.5	70.4	39.5	23.9	30.1	39.7	53.4	28.1