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

Table 6

Average percentage of reduction of energy for Data Cluster 1.

CVRPLib file name	Rate of mutation
	0.0001	0.0025	0.005	0.0075	0.01
(X-n200-k36,106158.0,200.0)	25.8922	28.244	25.4307	24.8176	21.5926
(X-n204-k19,121293.0,204.0)	31.7862	33.3268	31.0833	27.8423	28.1407
(X-n209-k16,122840.0,209.0)	29.6146	33.0459	27.9114	27.624	25.0044
(X-n214-k11,133196.0,214.0)	32.4836	32.4988	34.1668	28.6341	27.2371
(X-n219-k73,133414.0,219.0)	20.4221	21.3139	20.8364	18.7089	37.9443
(X-n223-k34,134648.0,223.0)	30.2742	33.6129	30.2504	23.4108	24.9498
(X-n228-k23,138126.0,228.0)	42.3674	48.8541	42.1286	38.2606	35.9466
(X-n233-k16,148219.0,233.0)	31.7538	35.2122	30.4283	26.9163	27.2217
(X-n237-k14,148455.0,237.0)	34.5302	33.6068	70.7867	32.2174	29.0436
(X-n242-k48,149779.0,242.0)	25.3818	26.5639	22.9681	18.7777	17.4704
(X-n247-k47,155979.0,247.0)	36.489	39.7815	35.6563	30.8481	28.9909
(X-n251-k28,157846.0,251.0)	27.3622	31.0231	26.4525	22.6824	20.6356
(X-n256-k16,177360.0,256.0)	32.9859	33.1934	33.5661	31.6681	25.8602
(X-n261-k13,190741.0,261.0)	31.9163	29.6783	28.0676	24.9275	21.9564
(X-n266-k58,192756.0,266.0)	24.7841	23.4658	21.208	17.4536	17.1201
(X-n270-k35,213175.0,270.0)	27.9878	28.8698	26.5334	22.7852	21.0692
(X-n275-k28,213449.0,275.0)	32.2499	31.4036	29.4528	29.5828	26.7106
(X-n280-k17,216682.0,280.0)	34.7643	38.5678	36.3531	34.8625	25.8963
(X-n284-k15,218209.0,284.0)	30.5936	27.6397	25.0705	25.1467	22.4253
(X-n289-k60,234183.0,289.0)	23.5243	24.7778	21.3323	16.7366	14.785