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Table 7 Numerical results for large projects with 120 non-dummy activities

From: Profit-oriented scheduling of resource-constrained projects with flexible capacity constraints

#Schedules Genetic Algorithm LocalSolver
\((\lambda |\beta )\) \((\lambda |\hat{z}_r)\) \((\lambda |\hat{z}_{rt})\) \((\lambda |\beta )\) \((\lambda |\hat{z}_r)\) \((\lambda |\hat{z}_{rt})\)
1000 \(4.97\%\) \({4.17\%}\) \(4.19\%\) \(31.22\%\) \(11.73\%\) \(39.26\%\)
5000 \(3.40\%\) \({2.73\%}\) \(2.82\%\) \(16.33\%\) \(3.83\%\) \(32.70\%\)
50,000 \(1.39\%\) \(0.86\%\) \({0.85\%}\) \(5.29\%\) \(2.00\%\) \(14.22\%\)