Learning Whale Optimization Algorithm for Open Vehicle Routing Problem with Loading Constraints

Table 6

Comparison of LWOA, WOA, GA, and EDA.

Problem	LWOA			WOA			GA			EDA
	BST	WST	AVG	BST	WST	AVG	BST	WST	AVG	BST	WST	AVG
C101	242.01	311.58	279.80	245.30	327.05	288.46	259.00	333.53	294.73	243.28	323.21	288.33
C102	247.62	317.52	284.29	252.38	333.87	295.02	261.09	321.98	292.14	251.17	327.60	287.46
C103	224.83	315.95	279.87	252.77	326.05	283.24	252.57	354.41	290.81	246.63	341.71	286.53
C104	245.98	308.16	280.61	268.13	338.33	296.82	258.78	314.58	299.73	245.44	330.65	292.10
C105	242.79	301.49	280.94	234.54	311.92	277.52	254.55	333.01	289.48	253.74	326.57	283.90
C106	242.15	317.8	283.21	266.43	345.98	297.04	230.55	332.64	288.16	254.22	329.45	295.28
C107	248.19	306.76	279.81	261.62	310.61	283.85	248.30	316.79	282.72	255.93	328.17	294.70
C108	232.96	321.57	285.42	260.09	329.08	292.76	241.78	326.56	285.77	242.38	314.09	279.75
C109	224.48	318.68	279.85	253.77	338.80	287.91	236.75	330.6	294.60	247.37	339.38	288.42
C201	328.36	406.8	373.00	357.83	420.27	389.59	343.67	413.31	384.74	342.78	420.57	382.82
C202	348.97	410.72	385.56	352.52	420.19	389.23	332.24	425.89	386.71	353.85	446.74	392.55
C203	353.11	425.83	387.58	358.11	435.19	395.75	356.26	451.24	388.47	357.60	428.34	383.84
C204	337.79	415.66	379.23	354.86	431.27	384.55	294.66	448.28	384.45	337.60	456.18	399.28
C205	347.33	416.55	382.22	361.29	417.95	394.90	317.31	429.01	383.39	356.92	441.02	387.02
C206	337.47	409.87	388.76	364.22	423.06	395.74	365.30	433.86	391.15	363.18	436.91	395.05
C207	336.32	418.19	382.28	359.74	420.08	388.47	340.18	422.48	385.61	337.76	431.17	391.35
C208	339.42	427.92	376.57	346.28	425.14	381.89	340.07	446.34	386.12	340.42	438.14	394.69