Prediction of Drifter Trajectory Using Evolutionary Computation

Table 14

Performance improvement with respect to Euclidean distance (%).

Euclidean distance	Case	Case	Case	Case	Average
DE&PSO	30.54	31.48	55.50	−42.68	18.71
PSO&CMA-ES	23.37	7.20	49.18	−127.87	−12.03
CMA-ES&DE	23.37	7.09	49.78	−132.32	−13.02
DE&PSO&CMA-ES	28.88	15.71	65.02	−94.90	3.68
DE	28.69	28.99	48.66	−52.23	13.53
PSO	30.03	29.63	49.44	−45.38	15.93
CMA-ES	−0.19	−21.69	−2.94	−250.32	−68.79