Mobile Robot Path Planning Based on Improved Coyote Optimization Algorithm

Table 3

The results of 50 times path planning by eight algorithms.

Map	Algorithms	Number	Maximum	Minimum	Average	Standard deviation
1	ICOA	1	56.87	54.87	54.91	0.28
	COA	2	64.38	60.38	60.57	0.78
	GWO	3	116.18	60.38	64.89	10.71
	PSO	4	62.38	60.38	60.42	0.37
	FECO	5	74.97	60.97	65.37	3.02
	ACO	6	148.61	82.08	120.98	14.60
	ABC	7	66.38	60.38	60.75	1.22
	SSA	8	62.38	60.38	60.69	0.41
2	ICOA	1	28.09	26.33	26.37	0.24
	COA	2	41.79	30.97	31.41	1.66
	GWO	3	46.38	30.97	34.29	3.29
	PSO	4	31.79	30.97	30.98	0.41
	FECO	5	40.14	32.97	36.18	2.11
	ACO	6	36.62	30.04	31.81	1.82
	ABC	7	36.62	30.04	31.38	1.25
	SSA	8	34.38	30.97	31.50	0.84
3	ICOA	1	26.96	26.13	26.18	0.17
	COA	2	45.31	26.38	27.28	3.55
	GWO	3	51.21	26.38	37.84	7.03
	PSO	4	29.55	26.38	27.64	1.03
	FECO	5	45.55	26.38	35.58	4.69
	ACO	6	37.21	26.38	35.09	4.27
	ABC	7	36.14	26.38	26.91	1.79
	SSA	8	41.69	26.38	29.59	4.19
4	ICOA	1	45.42	43.42	43.54	0.47
	COA	2	62.62	48.04	48.50	2.19
	GWO	3	69.21	48.04	52.61	4.35
	PSO	4	48.62	48.04	48.10	0.57
	FECO	5	56.87	48.87	52.80	2.38
	ACO	6	63.35	46.18	52.38	3.41
	ABC	7	57.59	46.87	47.46	1.91
	SSA	8	52.87	46.87	47.59	1.10