Solving Constrained Global Optimization Problems by Using Hybrid Evolutionary Computing and Artificial Life Approaches

Table 5

The best parameter settings of the best solution obtained using the RGA-PSO algorithm from TPs 1–13.

TP number	𝜒	𝑐1	𝑐2	𝜌	𝑝𝑚,PSO
1	0.73759998	1.52939998	1.72753568	28709280994	0.3750
2	0.67057537	0.45010388	2	1000000000	0.2709
3	0.75493696	0.36925226	1.91198475	54900420223	0.3856
4	0.45438391	1.45998477	1.25508289	1000000000	0.1
5	1	0.77483233	2	1000000000	0.5
6	0.70600559	0.82360083	0.91946627	26622414511	0.1619
7	0.74584341	0.95474855	1.17537957	86557786169	0.1958
8	1	0.69725160	1.53028620	1000000000	0.1675
9	0.41638718	0.46594542	1.97807798	12976330236	0.3686
10	0.25378610	0.59619170	0.83891277	1000000000	0.1
11	0.48183123	2	2	1000000000	0.1
12	0.76190087	0.1	1.16855713	100000000000	0.5
13	0.71783704	1.39420750	1.33590124	29071187026	0.2098