p-Optimality-Based Multiobjective Root System Growth Algorithms for Multiobjective Applications

Table 13

The best solutions for cost, emission, and loss.

	p-MORSGA			MOABC			MOPSO			NSGA-II
	Best f1	Best f2	Best f3	Best f1	Best f2	Best f3	Best f1	Best f2	Best f3	Best f1	Best f2	Best f3
PG1	20.20	43.99	5.88	34.88	3.18	17.95	21.92	37.02	8.99	24.99	36.89	17.95
PG2	20.56	45.77	14.16	50.55	15.47	29.89	24.75	46.88	24.62	27.41	48.11	26.43
PG3	69.52	60.02	104.25	61.37	80.41	60.66	64.99	62.55	81.38	56.88	49.54	93.88
PG4	100.76	39.10	69.00	40.55	68.99	100.09	100.61	46.77	62.39	47.29	38.88	65.2
PG5	45.99	53.89	4.98	43.99	9.06	37.77	39.29	50.12	66.45	44.55	50.99	8.07
PG6	36.55	47.13	86.44	35.76	77.02	40.99	33.66	52.34	57.77	41.88	49.21	67.99
f1 (cost)	610.99	650.99	637.44	639.99	625.78	612.98	615.99	640.10	661.27	615.23	639.12	643.02
f2 (emission)	0.2503	0.2065	0.2499	0.2154	0.2507	0.2610	0.3799	0.2388	0.4046	0.2453	0.1989	0.2599
f3 (loss)	2.0012	4.1707	1.5944	4.0062	1.6931	2.0002	2.1074	2.4576	1.5010	2.4002	2.3422	2.1055