Research Article
Optimization in Construction Management Using Adaptive Opposition Slime Mould Algorithm
Table 10
Comparison of different algorithms and AOSMA.
| No. of runs | MAWA-TLBO | MAWA-GA | MAWA-AS | MAWA-ACS-SGPU | AOSMA | Time (days) | Cost ($) | Time (days) | Cost ($) | Time (days) | Cost ($) | Time (days) | Cost ($) | Time (days) | Cost ($) |
| 1 | 100 | 283420 | 100 | 287720 | 100 | 286670 | 100 | 285400 | 100 | 288250 | 2 | 101 | 281200 | 101 | 284020 | 101 | 284300 | 101 | 282508 | 101 | 291615 | 3 | 104 | 277170 | 104 | 280020 | 104 | 277265 | 104 | 277200 | 104 | 280408 | 4 | 110 | 273470 | 110 | 273720 | 110 | 272265 | 110 | 273165 | 110 | 280320 | Populations | 40 | 50 | 50 | 10 | 50 | Number of iterations | 70 | 500 | 400 | 200 | 100 | Number of evaluation | 5,640 | 25,000 | 20,000 | 2,000 | 5,000 |
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The meaning of the bold values represent the AOSMA model’s greatest evaluation.
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