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

Table 14

The best solutions for cost, emission, and loss based on four multiobjective algorithms.

		CMOABC			MOABC			MOPSO			NSGA-II
	Best	Best	Best	Best	Best	Best	Best	Best	Best	Best	Best	Best
	PG1	20.02	44.96	6.01	35.66	3.21	18.95	22.01	36.97	9.01	25.86	36.63	18.65
PG2	21.03	45.01	15.26	49.25	16.74	30.01	25.63	45.76	25.75	28.61	49.87	27.83
PG3	70.25	59.79	106.92	62.73	81.51	61.36	64.59	61.02	83.83	58.02	50.76	95.62
PG4	101.05	38.12	68.95	39.03	69.01	102.65	101.81	45.53	64.92	48.72	38.52	66.75
PG5	46.12	52.68	5.00	45.67	8.96	36.57	40.92	49.89	68.66	43.15	51.34	7.97
PG6	35.19	46.11	87.65	33.52	76.72	39.96	32.56	51.64	55.65	42.84	49.42	68.74
(cost)	612.01	649.86	639.96	651.02	626.84	613.02	616.98	645.09	663.72	618.02	651.64	645.52
(emission)	0.2498	0.1956	0.2398	0.2069	0.2497	0.2501	0.3805	0.2101	0.3964	0.2426	0.2193	0.2467
(loss)	1.9968	4.0117	1.6046	3.9964	1.7013	1.9904	2.0972	2.4657	1.5206	2.3994	2.3652	2.0985