Research Article

A Memetic Algorithm for Multiskill Resource-Constrained Project Scheduling Problem under Linear Deterioration

Table 4

Summary and comparison of GVNS-MA and GVNS- on known MS-RCPSP dataset [46].

instances GVNS-MAGVNS-

100-10-26-15237134.58191.78237155.41240.93-15.48-25.63
100-10-47-9253107.90124.90253112.59155.26-4.35-24.31
100-10-48-15245148.01175.05245174.61215.94-17.97-23.36
100-10-64-9247142.61165.36247162.58216.63-14.00-31.01
100-10-64-15246104.49173.17246121.29222.18-16.08-28.30
100-20-22-15133129.46149.53133145.47176.29-12.37-17.90
100-20-46-15160106.16137.70160121.39175.66-14.35-27.57
100-20-47-9132114.82128.70132142.51174.44-24.12-35.54
100-20-65-1519397.82103.17193113.01129.22-15.53-25.25
100-20-65-9134112.29138.93134126.16159.56-12.35-14.85
100-5-22-15483105.73131.64483120.40167.90-13.87-27.54
100-5-46-15528160.97189.48528182.98221.45-13.67-16.87
100-5-48-9489114.20134.45489134.52146.37-17.79-8.87
100-5-64-15480122.67146.27480164.45202.54-34.06-38.47
100-5-64-9474124.63162.61474154.10206.64-23.65-27.08
200-10-128-15479657.93746.32479801.41902.58-21.86-20.94
200-10-50-15488835.5895.29488913.44984.38-9.33-9.95
200-10-50-9487744.07793.34487820.27818.20-10.24-3.13
200-10-84-9509668.63719.20509725.68862.85-8.53-19.97
200-10-85-15477500.61561.76477561.76688.83-12.22-22.62
200-20-145-15252534.14660.08252590.08715.30-10.478.37
200-20-54-15291745.02847.46291785.80967.01-5.47-14.11
200-20-55-9257577.67639.97257622.39713.94-7.74-11.56
200-20-97-15334592.01724.57334666.73749.14-12.62-3.39
200-20-97-9253565.37716.20253683.70809.50-20.9313.03
200-40-133-15157682.28772.82157720.41844.72-5.59-9.30
200-40-45-15159476.09565.58159511.30615.16-7.40-8.77
200-40-45-9144571.43626.53144615.48700.62-7.71-11.83
200-40-90-9145616.23654.24145683.97738.17–10.99-12.83
200-40-91-15153588.02624.01153664.87760.05-13.07-21.80
#302802
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#-13.79-18.80