Solving Unconstrained Global Optimization Problems via Hybrid Swarm Intelligence Approaches

Table 3

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

TP number	Function name	𝜒	𝑐1	𝑐2
1	SHCB	0.36497798	1.79972890	2.36717639
2	GP	0.86138264	3.74964714	0.10000000
3	ES	0.36038653	0.42043804	4.78367612
4	B2	0.75486133	0.17875492	0.95144705
5	DJ	0.39357143	3.17898242	4.72512283
6	Booth	0.56703400	4.84740898	2.58109482
7	RC	0.44153938	2.71748076	3.81076900
8	RA	0.93533829	0.76530619	3.53402840
9	RS2	0.87003776	1.28577955	2.77423057
10	RS5	0.62553666	0.10000000	5.00000000
11	SH	0.45903159	1.07452631	4.15038556
12	ZA2	0.75044069	0.50883133	1.93860581
13	ZA5	0.52013863	1.05471011	4.61197390
14	ZA10	0.56126516	0.39456605	4.95735921