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

Table 2

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	−1400.00	−1400.00	−1400.00	−1400.00
f2	−1300	31802.55	10719.58	204814.76	20573.61	51187.06	18609.16
f3	−1200	−1199.74	−1199.95	17054.84	−1199.82	−1199.96	−1199.95
f4	−1100	−964.04	−947.26	576.38	−981.92	−913.96	−388.49
f5	−1000	−1000.00	−1000.00	−1000.00	−1000.00	−1000.00	−1000.00
f6	−900	−899.93	−899.99	−899.51	−899.81	−899.76	−900.00
f7	−800	−799.96	−799.32	−798.57	−799.92	−799.95	−798.90
f8	−700	−679.83	−679.80	−679.79	−679.78	−679.84	−679.94
f9	−600	−599.25	−599.23	−599.25	−598.43	−599.43	−599.37
f10	−500	−499.93	−499.95	−499.82	−499.91	−499.91	−499.94
f11	−400	−400.00	−400.00	−397.56	−399.01	−400.00	−400.00
f12	−300	−295.03	−294.03	−284.82	−293.04	−295.03	−295.03
f13	−200	−193.73	−193.73	−182.54	−193.04	−197.16	−192.22
f14	−100	−96.40	−96.40	−40.45	−93.11	−93.05	−93.12
f15	100	243.94	382.90	624.16	343.59	463.56	295.58
f16	200	200.70	200.24	200.38	200.47	200.58	200.10
f17	300	303.29	301.60	324.08	302.45	304.34	301.11
f18	400	414.78	413.57	433.38	414.77	415.52	414.11
f19	500	500.04	500.07	500.89	500.19	500.31	500.14
f20	600	601.96	601.94	602.44	602.03	601.81	602.11
f21	700	800.00	800.00	800.03	800.00	700.00	800.00
f22	800	829.38	823.36	925.66	829.06	830.92	821.09
f23	900	1149.35	1080.55	1613.80	1127.72	1181.06	1338.13
f24	1000	1109.13	1114.66	1125.87	1112.24	1136.31	1109.72
f25	1100	1301.93	1303.37	1302.83	1302.10	1301.53	1213.63
f26	1200	1307.96	1305.97	1321.06	1306.97	1308.95	1304.98
f27	1300	1615.16	1622.81	1658.37	1636.13	1607.02	1603.81
f28	1400	1500.00	1500.00	1500.01	1500.00	1500.00	1500.00