Optimizing High-Dimensional Functions with an Efficient Particle Swarm Optimization Algorithm

Table 7

The performance of PSOTS, the traditional PSO algorithm (PSO), the AsynLnPSO algorithm (APSO), the LinWPSO algorithm (LPSO), GPSO, CCAS, and VPSO on 9 functions in the benchmark dataset when the dimensionality is 5000.

Functions		PSOTS	PSO	APSO	LPSO	GPSO	CCAS	VPSO
Sphere	Best	30.556	57.098	62.388	49.728	35.24098	36.06005	35.6112
	Mean	36.499	64.915	68.973	55.641	41.47434	41.16323	42.53189
	STD	4.759	4.427	3.928	3.263	5.111826	3.354321	3.27586
Ellipse	Best	29088.000	58646.700	61238.400	48136.800	39403.572	41069.376	34520.315
	Mean	35375.900	65562.900	72245.200	58339.700	54707.362	54713.734	42669.342
	STD	3657.300	4712.800	6179.100	5080.900	3856.751	3736.693	3716.105