Artificial Bee Colony Algorithm Based on -Means Clustering for Multiobjective Optimal Power Flow Problem

Table 8

The best solutions for cost and emission from the Pareto front based on four multiobjective algorithms.

	CMOABC		MOABC		NSGA-II		MOPSO
	Best	Best	Best	Best	Best	Best	Best	Best
PG1	12.36	41.30	11.09	7.92	36.25	42.01	26.11	56.01
PG2	29.99	45.41	30.16	42.08	55.45	47.91	32.99	46.62
PG3	55.40	55.31	57.50	60.89	49.60	50.97	62.14	56.12
PG4	105.16	43.40	105.41	101.06	46.20	43.10	102.13	40.31
PG5	45.26	52.79	45.39	42.61	56.92	52.20	45.21	56.03
PG6	38.01	52.01	37.81	33.88	44.32	52.06	38.15	48.96
(cost)	606.52	639.09	607.18	645.01	610.80	639.89	607.12	643.90
(emission)	0.2255	0.1931	0.2259	0.2009	0.2317	0.1992	0.2590	0.1959