A Modified Harmony Search Algorithm for Solving the Dynamic Vehicle Routing Problem with Time Windows

Table 3

The effect of the PAR on the mean function optimization.

Instance	0.3	0.4	0.5	0.6	0.7
C1-01-50	706.23	706.23	706.23	706.23	706.23
C1-05-90	285.06	287.20	285.06	286.13	285.06
C2-01-30	535.42	535.42	535.42	535.42	535.42
C2-07-10	568.77	568.77	568.77	568.77	568.77
R1-03-30	983.47	979.55	980.48	986.82	979.57
R1-03-10	1195.97	1197.94	1195.36	1194.18	1197.12
R1-09-70	444.40	445.30	444.40	445.83	444.40
R2-03-50	621.23	630.18	621.72	616.62	626.34
R2-06-10	914.09	934.96	914.46	912.56	934.58
R2-09-70	490.88	482.95	478.68	483.16	487.21
RC1-04-50	759.02	759.43	759.22	757.86	759.66
RC1-06-90	260.01	260.30	259.43	259.43	259.72
RC2-02-70	568.58	571.81	571.81	563.20	571.81
RC2-03-90	265.61	265.61	265.95	265.61	265.61
RC2-08-30	749.31	763.16	773.31	710.28	769.66