A Novel Sparrow Particle Swarm Algorithm (SPSA) for Unmanned Aerial Vehicle Path Planning

Table 2

Simulation results of various algorithms.

	CSO	DE	GWO	PSO	SSA	SPSA
Mean	6201.82	4408.46	3763.38	4676.34	2686.43	2008.42
Worst	6756.89	4938.99	3973.66	5128.23	2993.09	2009.55
Optimal	4970.68	3907.56	3421.28	4427.57	2614.56	2006.73
Standard	413.09	243.01	83.02	218.58	127.61	0.89
Mean	6271.97	4233.72	3718.73	4710.89	2882.40	2043.68
Worst	6854.16	4781.97	4160.03	5323.78	4895.46	2057.16
Optimal	5105.15	3757.25	3291.77	4304.02	2616.61	2028.70
Standard	465.75	244.00	177.03	233.50	631.23	8.10
Mean	6221.22	4562.37	3958.70	4683.83	2784.55	2004.95
Worst	6702.69	6625.81	6902.46	5182.99	3081.59	2024.60
Optimal	5251.67	3473.63	3294.27	4143.35	2525.77	1999.51
Standard	381.40	752.85	578.59	297.68	183.07	5.84