The Inertia Weight Updating Strategies in Particle Swarm Optimisation Based on the Beta Distribution

Table 3

The minimum values achieved at iteration and Min. is the problem solution.

CEC problem	Min.	RBRa	RBrr	AMPSO2	RBld	sPSO	BrBl
f1	−1400	−1400.00	−1400.00	−1147.93	−1400.00	−1265.72	−1400.00
f2	−1300	222040.73	322300.27	1498763.45	130380.94	3959345.31	236444.51
f3	−1200	2136685.60	392088.96	1193329345.61	369651.03	331615655.13	6232942.40
f4	−1100	5620.73	5057.65	6101.20	4597.78	7088.07	5451.37
f5	−1000	−999.98	−1000.00	−943.64	−1000.00	−961.61	−999.97
f6	−900	−899.70	−899.84	−878.23	−899.57	−881.82	−899.94
f7	−800	−795.95	−797.12	−752.51	−794.56	−771.83	−788.15
f8	−700	−679.73	−679.75	−679.75	−679.78	−679.84	−679.73
f9	−600	−598.53	−597.77	−593.72	−597.54	−593.42	−599.29
f10	−500	−498.94	−499.44	−464.60	−499.36	−468.55	−498.81
f11	−400	−394.23	−395.61	−368.60	−395.74	−362.84	−395.99
f12	−300	−283.02	−292.15	−252.46	−292.11	−258.93	−286.85
f13	−200	−182.06	−183.29	−147.10	−188.58	−148.35	−179.85
f14	−100	−43.56	116.03	199.00	73.64	1221.41	25.31
f15	100	1366.48	859.64	1416.16	834.71	1331.53	505.67
f16	200	201.00	200.58	200.73	200.87	200.89	200.40
f17	300	327.16	322.55	366.99	323.63	365.88	318.69
f18	400	446.89	438.03	473.89	435.77	482.47	433.20
f19	500	501.16	501.02	508.15	500.75	505.62	500.55
f20	600	602.94	602.78	603.07	602.86	603.40	602.98
f21	700	803.41	800.72	1080.72	800.49	1053.29	801.40
f22	800	1107.86	1009.20	1318.77	870.95	2022.70	1003.78
f23	900	1580.41	1796.86	2286.08	1740.24	2546.45	1514.33
f24	1000	1137.37	1144.17	1175.66	1130.14	1172.10	1135.56
f25	1100	1305.98	1305.48	1315.70	1303.40	1319.22	1257.89
f26	1200	1321.41	1321.35	1347.29	1311.11	1357.60	1308.38
f27	1300	1646.86	1641.18	1799.34	1659.35	1776.92	1637.37
f28	1400	1503.26	1500.31	1692.99	1500.23	1667.17	1500.63