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

Table 10

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

	CMOABC		MOABC		NSGA-II		MOPSO
	Best	Best	Best	Best	Best	Best	Best	Best
PG1	15.13	3.69	9.62	4.02	19.06	3.85	66.98	9.54
PG2	29.92	27.41	32.16	11.24	20.65	23.66	37.99	10.02
PG3	55.89	105.93	57.99	109.92	39.62	72.49	68.16	109.34
PG4	112.66	57.01	95.41	67.53	118.69	99.04	102.03	69.36
PG5	31.23	5.23	44.38	11.64	42.02	5.27	38.21	71.81
PG6	38.95	87.56	39.85	80.63	47.14	82.31	28.15	33.65
(cost)	607.26	626.09	609.99	626.12	611.01	643.26	609.42	669.91
(loss)	2.4514	1.5196	2.4643	1.5489	3.8167	1.5841	2.5389	1.5826