Prediction of Drifter Trajectory Using Evolutionary Computation

Table 8

Results on parameters of PSO.

Parameter	Evaluation	Case
		1	5	6	7
Inertia
0.3	MAE	0.0907	0.0820	0.0385	0.0622
	Euclid	0.1512	0.1330	0.0584	0.0913
	NCLS	0.9044	0.7984	0.9232	0.8878
0.5	MAE	0.0914	0.0822	0.0386	0.0643
	Euclid	0.1529	0.1331	0.0586	0.0942
	NCLS	0.9033	0.7982	0.9230	0.8843
0.7298 (default)	MAE	0.0916	0.0822	0.0386	0.0643
	Euclid	0.1531	0.1332	0.0585	0.0942
	NCLS	0.9032	0.7981	0.9230	0.8843
0.9	MAE	0.0917	0.0823	0.0385	0.0643
	Euclid	0.1534	0.1332	0.0583	0.0943
	NCLS	0.9030	0.7980	0.9233	0.8842

Note. The lower the MAE and Euclidean values, the better. The higher the NCLS values, the better.