Research Article
Optimization in Construction Management Using Adaptive Opposition Slime Mould Algorithm
| | Step 1: begin | | | Step 2: initialize all parameters needed N, d, T_Max, t, , LB, UB, and XGB;fGB | | | Step 3: | | | Calculate | | | Sort [Sortf, SortIndf] = sort(f) | | | Update fLB = f(Sortf(1)) and XLB = X(SortIndf(1)) | | | Update fLW = f(Sortf(N)) | | | Update | | | Update | | | Update and | | | Step 4: i = 1 : N | | | Create r1 and r2: random the range of [0, 1]. | | | Create | | | Evaluate new slime , , | | | Step 5: if | | | Estimate | | | Select | | | Step 6: update | | | Step 7: stopping conditions, the best value of XGB given |
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