Research Article

Genetic Algorithm and Its Performance Analysis for Scheduling a Single Crane

Table 3

Computing results of the heuristic algorithms for larger scale instances.

ProblemARD (%)Avg. CPU time
Heuristic algorithm Modified heuristicGAHeuristic algorithmsGA

360.51011.09 11.0911.00 0.0000.000
0.712.69 13.3411.900.0030.005
0.911.87 12.8312.07 0.0020.003

560.51612.92 12.9612.66 0.0000.000
0.710.62 11.3510.37 0.0030.005
0.913.11 13.6213.09 0.0000.002

1060.53318.54 18.6817.89 0.0050.005
0.716.25 16.5016.14 0.0040.005
0.915.66 17.2315.30 0.0070.010

1560.55023.47 23.4723.00 0.0060.006
0.721.54 21.7221.21 0.0150.018
0.920.41 21.0519.99 0.0150.020

2060.56526.57 26.6826.18 0.0030.003
0.724.78 24.9824.540.0150.018
0.923.03 24.2222.91 0.0210.030

20110.513026.17 26.1826.02 0.0600.071
0.727.4827.9827.190.1090.132
0.922.49 23.8422.00 0.1530.169

50260.580034.60 34.5434.52 6.5727.121
0.733.00 32.9232.73 19.64723.409
0.931.33 31.7530.90 32.83835.117