Research Article
Optimization in Construction Management Using Adaptive Opposition Slime Mould Algorithm
Table 4
Data resources for case 2.
| | Act | EM | D (days) | C ($) | Wt | Quality performance (Qp) and quality indicator (K) | Sr | | K1 | K2 | K3 | | Kwt | Qp | Kwt | Qp | Kwt | Qp |
| | 1 | 1 | 14 | 2400 | 0.03 | 50.00 | 100.00 | 30.00 | 96.00 | 20.00 | 98.00 | 12 | | 2 | 15 | 2150 | 0.03 | 50.00 | 90.00 | 30.00 | 89.00 | 20.00 | 89.00 | 9 | | 3 | 16 | 1900 | 0.03 | 50.00 | 86.00 | 30.00 | 77.00 | 20.00 | 84.00 | 12 | | 4 | 21 | 1500 | 0.03 | 50.00 | 75.00 | 30.00 | 72.00 | 20.00 | 73.00 | 8 | | 5 | 24 | 1200 | 0.03 | 50.00 | 63.00 | 30.00 | 60.00 | 20.00 | 65.00 | 5 |
| | 2 | 1 | 15 | 3000 | 0.05 | 40.00 | 98.00 | 40.00 | 94.00 | 20.00 | 99.00 | 30 | | 2 | 18 | 2400 | 0.05 | 40.00 | 87.00 | 40.00 | 94.00 | 20.00 | 95.00 | 24 | | 3 | 20 | 1800 | 0.05 | 40.00 | 81.00 | 40.00 | 92.00 | 20.00 | 85.00 | 20 | | 4 | 23 | 1500 | 0.05 | 40.00 | 77.00 | 40.00 | 72.00 | 20.00 | 70.00 | 20 | | 5 | 25 | 1000 | 0.05 | 40.00 | 60.00 | 40.00 | 66.00 | 20.00 | 59.00 | 18 |
| | 3 | 1 | 15 | 4500 | 0.08 | 70.00 | 100.00 | 15.00 | 97.00 | 15.00 | 98.00 | 20 | | 2 | 22 | 4000 | 0.08 | 70.00 | 80.00 | 15.00 | 82.00 | 15.00 | 81.00 | 24 | | 3 | 33 | 3200 | 0.08 | 70.00 | 62.00 | 15.00 | 60.00 | 15.00 | 63.00 | 14 |
| | 4 | 1 | 12 | 45000 | 0.11 | 50.00 | 99.00 | 35.00 | 95.00 | 15.00 | 94.00 | 5 | | 2 | 16 | 35000 | 0.11 | 50.00 | 74.00 | 35.00 | 71.00 | 15.00 | 76.00 | 5 | | 3 | 20 | 30000 | 0.11 | 50.00 | 59.00 | 35.00 | 63.00 | 15.00 | 64.00 | 4 |
| | 5 | 1 | 22 | 20000 | 0.1 | 60.00 | 100.00 | 20.00 | 97.00 | 20.00 | 99.00 | 12 | | 2 | 24 | 17500 | 0.1 | 60.00 | 93.00 | 20.00 | 89.00 | 20.00 | 89.00 | 8 | | 3 | 28 | 15000 | 0.1 | 60.00 | 77.00 | 20.00 | 71.00 | 20.00 | 72.00 | 5 | | 4 | 30 | 10000 | 0.1 | 60.00 | 61.00 | 20.00 | 64.00 | 20.00 | 61.00 | 9 |
| | 6 | 1 | 14 | 40000 | 0.11 | 50.00 | 95.00 | 25.00 | 95.00 | 25.00 | 100.00 | 12 | | 2 | 18 | 32000 | 0.11 | 50.00 | 76.00 | 25.00 | 74.00 | 25.00 | 79.00 | 5 | | 3 | 24 | 18000 | 0.11 | 50.00 | 59.00 | 25.00 | 62.00 | 25.00 | 68.00 | 9 |
| | 7 | 1 | 9 | 30000 | 0.1 | 30.00 | 97.00 | 30.00 | 99.00 | 40.00 | 93.00 | 24 | | 2 | 15 | 24000 | 0.1 | 30.00 | 70.00 | 30.00 | 73.00 | 40.00 | 71.00 | 20 | | 3 | 18 | 22000 | 0.1 | 30.00 | 61.00 | 30.00 | 62.00 | 40.00 | 67.00 | 12 |
| | 8 | 1 | 14 | 220 | 0.01 | 100.00 | 95.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0 | | 2 | 15 | 215 | 0.01 | 100.00 | 83.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0 | | 3 | 16 | 200 | 0.01 | 100.00 | 75.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0 | | 4 | 21 | 208 | 0.01 | 100.00 | 68.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0 | | 5 | 24 | 120 | 0.01 | 100.00 | 61.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0 |
| | 9 | 1 | 15 | 300 | 0.01 | 50.00 | 100.00 | 50.00 | 99.00 | 0.00 | 0.00 | 6 | | 2 | 18 | 240 | 0.01 | 50.00 | 97.00 | 50.00 | 92.00 | 0.00 | 0.00 | 4 | | 3 | 20 | 180 | 0.01 | 50.00 | 81.00 | 50.00 | 88.00 | 0.00 | 0.00 | 8 | | 4 | 23 | 150 | 0.01 | 50.00 | 71.00 | 50.00 | 75.00 | 0.00 | 0.00 | 3 | | 5 | 25 | 100 | 0.01 | 50.00 | 63.00 | 50.00 | 64.00 | 0.00 | 0.00 | 4 |
| | 10 | 1 | 15 | 450 | 0.01 | 60.00 | 94.00 | 40.00 | 97.00 | 0.00 | 0.00 | 9 | | 2 | 22 | 400 | 0.01 | 60.00 | 79.00 | 40.00 | 83.00 | 0.00 | 0.00 | 12 | | 3 | 33 | 320 | 0.01 | 60.00 | 63.00 | 40.00 | 69.00 | 0.00 | 0.00 | 8 |
| | 11 | 1 | 12 | 450 | 0.01 | 70.00 | 96.00 | 30.00 | 95.00 | 0.00 | 0.00 | 3 | | 2 | 16 | 350 | 0.01 | 70.00 | 72.00 | 30.00 | 75.00 | 0.00 | 0.00 | 5 | | 3 | 20 | 300 | 0.01 | 70.00 | 61.00 | 30.00 | 66.00 | 0.00 | 0.00 | 4 |
| | 12 | 1 | 22 | 2000 | 0.02 | 50.00 | 99.00 | 35.00 | 98.00 | 15.00 | 95.00 | 30 | | 2 | 24 | 1750 | 0.02 | 50.00 | 89.00 | 35.00 | 85.00 | 15.00 | 87.00 | 36 | | 3 | 28 | 1500 | 0.02 | 50.00 | 70.00 | 35.00 | 71.00 | 15.00 | 79.00 | 24 | | 4 | 30 | 1000 | 0.02 | 50.00 | 62.00 | 35.00 | 61.00 | 15.00 | 63.00 | 20 |
| | 13 | 1 | 14 | 4000 | 0.03 | 40.00 | 99.00 | 40.00 | 96.00 | 20.00 | 97.00 | 15 | | 2 | 18 | 3200 | 0.03 | 40.00 | 73.00 | 40.00 | 71.00 | 20.00 | 76.00 | 18 | | 3 | 24 | 1800 | 0.03 | 40.00 | 60.00 | 40.00 | 62.00 | 20.00 | 63.00 | 24 |
| | 14 | 1 | 9 | 3000 | 0.01 | 80.00 | 100.00 | 10.00 | 95.00 | 10.00 | 98.00 | 16 | | 2 | 15 | 2400 | 0.01 | 80.00 | 79.00 | 10.00 | 82.00 | 10.00 | 81.00 | 15 | | 3 | 18 | 2200 | 0.01 | 80.00 | 63.00 | 10.00 | 67.00 | 20.00 | 66.00 | 16 |
| | 15 | 1 | 16 | 3500 | 0.07 | 70.00 | 100.00 | 30.00 | 98.00 | 0.00 | 0.00 | 30 | | 2 | 12 | 4500 | 0.07 | 70.00 | 100.00 | 30.00 | 98.00 | 0.00 | 0.00 | 25 |
| | 16 | 1 | 20 | 3000 | 0.03 | 30.00 | 97.00 | 30.00 | 96.00 | 40.00 | 98.00 | 10 | | 2 | 22 | 2000 | 0.03 | 30.00 | 89.00 | 30.00 | 85.00 | 40.00 | 87.00 | 3 | | 3 | 24 | 1750 | 0.03 | 30.00 | 81.00 | 30.00 | 79.00 | 40.00 | 78.00 | 6 | | 4 | 28 | 1500 | 0.03 | 30.00 | 72.00 | 30.00 | 73.00 | 40.00 | 74.00 | 8 | | 5 | 30 | 1000 | 0.03 | 30.00 | 67.00 | 30.00 | 60.00 | 40.00 | 62.00 | 6 |
| | 17 | 1 | 14 | 4000 | 0.06 | 70.00 | 98.00 | 20.00 | 97.00 | 10.00 | 99.00 | 36 | | 2 | 18 | 3200 | 0.06 | 70.00 | 73.00 | 20.00 | 75.00 | 10.00 | 72.00 | 36 | | 3 | 24 | 1800 | 0.06 | 70.00 | 62.00 | 20.00 | 65.00 | 10.00 | 61.00 | 20 |
| | 18 | 1 | 9 | 3000 | 0.05 | 30.00 | 98.00 | 45.00 | 99.00 | 25.00 | 94.00 | 20 | | 2 | 15 | 2400 | 0.05 | 30.00 | 75.00 | 45.00 | 77.00 | 25.00 | 71.00 | 18 | | 3 | 18 | 2200 | 0.05 | 30.00 | 63.00 | 45.00 | 66.00 | 25.00 | 67.00 | 12 |
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