An Improved Particle Swarm Optimization with Biogeography-Based Learning Strategy for Economic Dispatch Problems

Table 3

Comparison of fuel costs and statistical results for test system 1 (6-unit system,  MW).

Algorithm	Minimum cost ($/h)	Mean cost ($/h)	Maximum cost ($/h)	Standard deviation	Time (s)
NPSO-LRS [54]	15,450	15,454	15,452	NA	NA
MTS [55]	15450.06	15451.17	15450.06	0.9287	1.29
TS [55]	5454.89	15472.56	15454.89	13.7195	20.55
SA [55]	15461.1	15488.98	15461.1	28.3678	50.36
GAAPI [56]	15449.78	15449.81	15449.85	NA	NA
HCRO-DE [42]	15443.075	15443.327	15443.916	0.067	4.17
DE [57]	15449.5826	15449.62	15449.6508	NA	3.634
MABC [31]	15449.8995	15449.8995	15449.8995	6.04E-08	0.62
CBA [58]	15450.2381	15454.76	15518.6588	2.965	0.704
RDPSO [26]	15449.89	15458.01	NA	13.647	0.707
IRDPSO [26]	15449.89	15456.55	NA	10.9865	0.676
ST-IRDPSO [26]	15449.89	15450.7	NA	1.416	0.727
CLPSO	15447.72	15449.83	15452.88	1.28	0.48
SLPSO	15447.34	15447.46	15447.62	0.08	0.84
BLPSO	15447.34	15447.45	15447.67	0.09	0.50

NA means the data are not available in the literature.