Research Article

Competitive Two-Agent Scheduling with Learning Effect and Release Times on a Single Machine

Table 1

The performance of the simulated-annealing algorithms at .

λSA1SA2SA3SA4SA5
MeanMaxMeanMaxMeanMaxMeanMaxMeanMax

0.200.02520.67110.03261.27310.02941.27310.02391.27310.00200.2014
0.400.05391.90130.07241.90130.09111.90130.13525.80670.01511.4364
0.600.04330.90160.09545.57250.08034.44050.09194.61130.01030.3001
0.800.05951.86900.04120.41310.04651.66640.05431.72060.00620.1241
1.000.07103.79360.10133.79360.09943.79360.09073.79360.04293.7936
1.250.04230.28530.10685.75720.04330.44950.03710.60490.00450.0665
1.500.03590.46880.04140.27450.03310.36460.03310.23640.00480.0651
1.750.06713.31280.04140.36020.06713.31280.04130.34860.00570.1112
2.000.03580.38430.03290.36100.05040.32500.03140.33680.00910.2887
3.000.03550.25580.04200.27620.03210.27380.03160.31170.00660.1416