Machine Learning-Based Parameter Tuned Genetic Algorithm for Energy Minimizing Vehicle Routing Problem

Table 5

Average percentage of reduction of energy for Data Cluster 0.

CVRPLib file name	Rate of mutation
	0.0001	0.0025	0.005	0.0075	0.01
(X-n101-k25,5147.0,101.0)	30.2795	36.2461	37.7101	37.9236	35.2168
(X-n106-k14,13011.0,106.0)	32.0238	32.833	36.2804	35.2223	30.4027
(X-n110-k13,13827.0,110.0)	33.0007	37.1898	41.2574	38.6756	40.5764
(X-n115-k10,15362.0,115.0)	49.5449	50.5952	55.6424	54.8956	51.0182
(X-n120-k6,15481.0,120.0)	41.4965	43.7106	45.6016	45.7964	41.0161
(X-n125-k30,21017.0,125.0)	24.5716	28.4982	30.0036	28.8937	26.8316
(X-n129-k18,21682.0,129.0)	31.0658	33.7182	34.406	33.0458	32.7406
(X-n134-k13,29902.0,134.0)	40.4161	44.4603	43.73	43.9817	41.7856
(X-n139-k10,30941.0,139.0)	37.7481	38.4019	41.7096	38.2775	35.7362
(X-n143-k7,38416.0,143.0)	36.1435	42.5054	39.74	39.2316	36.9879
(X-n148-k46,39233.0,148.0)	28.6224	35.0103	33.176	32.0835	26.2372
(X-n153-k22,42301.0,153.0)	47.0119	49.6091	50.3011	50.222	46.9372
(X-n157-k13,42457.0,157.0)	44.5515	46.5625	46.7771	43.414	42.4649
(X-n162-k11,54651.0,162.0)	33.8149	38.9795	42.114	36.896	34.6667
(X-n167-k10,55887.0,167.0)	34.3191	39.1482	34.7953	33.867	30.1161
(X-n172-k51,63979.0,172.0)	30.9868	34.2055	31.901	29.9517	25.5072
(X-n176-k26,67611.0,176.0)	37.8435	43.655	40.7705	40.2538	38.4579
(X-n181-k23,67791.0,181.0)	32.5043	32.0691	34.2579	31.2722	29.6108
(X-n186-k15,81644.0,186.0)	32.5559	34.7171	34.9303	32.4279	28.6864
(X-n190-k8,82687.0,190.0)	35.493	35.8647	38.8699	35.8953	32.1755
(X-n195-k51,91895.0,195.0)	30.3231	32.635	32.6071	27.5018	25.8458