Solving Unconstrained Global Optimization Problems via Hybrid Swarm Intelligence Approaches

Table 5

The optimal parameter settings obtained using the proposed AIA-PSO algorithm for solving 14 UGO problems.

TP number	Function name	𝜒	𝑐1	𝑐2
1	SHCB	0.59403239	1.75960560	4.12826475
2	GP	0.29584147	2.62468918	4.41787729
3	ES	0.39500323	0.84589484	2.64979988
4	B2	0.64806710	1.78727677	1.83995777
5	DJ	0.45630341	1.11829588	4.10382418
6	Booth	0.60889449	2.53158038	1.32827344
7	RC	1.00000000	1.48772085	0.43921335
8	RA	0.38157302	4.93248942	4.08732827
9	RS2	0.39872504	4.65992304	4.84228028
10	RS5	0.55519288	0.10000000	4.52483714
11	SH	0.54293231	2.10545153	4.52889414
12	ZA2	0.44530811	1.05474921	3.20092987
13	ZA5	0.51683760	1.17129205	4.94965004
14	ZA10	0.53688659	0.53752883	4.99881022