Table 10: Mean normalized optimization results on test-sheet composition problem. The numbers shown are the minimum objective function values found by each algorithm, averaged over 100 Monte Carlo simulations.

Parameter Algorithm Popsize Maxgen Keep ACO DE ES GA PBIL PSO SGA TS/BBO 50 50 10 6.4966 6.0329 6.4322 5.1371 8.7371 6.4414 4.7929 4.2490 50 50 2 6.5258 6.0020 6.3800 5.5267 8.4413 6.3501 4.5824 4.7521 100 50 2 6.3249 5.6499 6.3452 5.5034 8.3996 6.3087 4.1814 4.7138 100 100 2 6.0259 5.2775 6.0369 4.9790 8.3465 6.0256 3.6625 4.0310 100 100 10 6.0896 5.2911 6.0581 4.3342 8.1055 6.0294 3.7515 3.4253