Research Article

Genetic Algorithm and Its Performance Analysis for Scheduling a Single Crane

Table 1

The performance for smaller scale instances.

ProblemARD (%)
MILPSequential approachHeuristic algorithm Modified heuristicGA





230.522.932.935.33 5.332.93
0.73.523.523.52 3.523.52
0.95.505.506.34 6.175.54
330.534.744.905.97 5.974.74
0.75.315.316.05 6.055.31
0.94.995.226.58 6.475.16
340.555.065.487.35 7.355.18
0.74.324.547.31 7.165.22
0.98.059.1211.20 11.688.34
350.564.705.069.73 9.604.70
0.76.137.88 8.746.01
0.914.69 13.0411.74





230.521.801.803.30 3.301.80
0.72.122.122.12 2.122.12
0.93.293.293.79 3.693.32
330.533.003.003.65 3.653.00
0.73.253.253.70 3.703.25
0.93.133.133.95 3.893.36
340.553.143.394.55 4.553.14
0.72.642.834.48 4.392.64
0.95.506.71 6.995.29
350.562.923.146.06 5.972.92
0.73.934.88 5.393.89
0.99.51 7.967.26