Table 14 Experimental results (mean, standard deviation and rate of success) of function evaluation between SQP and HCSNM for \(FM_1 - FM_{10}\) test problems
From: A hybrid cuckoo search algorithm with Nelder Mead method for solving global optimization problems
Function | Algorithm | Mean | SD | Suc |
|---|---|---|---|---|
\(FM _1\) | SQP | 4044.5 | 8116.6 | 24 |
HCSNM | 704 | 11.84 | 30 | |
\(FM _2\) | SQP | 8035.7 | 9939.9 | 18 |
HCSNM | 727.53 | 22.07 | 30 | |
\(FM _3\) | SQP | 135.5 | 21.1 | 30 |
HCSNM | 913.43 | 92.11 | 30 | |
\(FM _4\) | SQP | 20,000 | 0.0 | 0.0 |
HCSNM | 3112.46 | 211.47 | 27 | |
\(FM _5\) | SQP | 140.6 | 38.5 | 30 |
HCSNM | 669.23 | 12.42 | 30 | |
\(FM _6\) | SQP | 611.6 | 200.6 | 30 |
HCSNM | 4451.9 | 89.87 | 26 | |
\(FM _7\) | SQP | 15,684.0 | 7302.0 | 10 |
HCSNM | 1025.46 | 8.55 | 24 | |
\(FM _8\) | SQP | 20,000 | 0.0 | 0.0 |
HCSNM | 2629.93 | 91.58 | 22 | |
\(FM _9\) | SQP | 20,000 | 0.0 | 0.0 |
HCSNM | 2720.4 | 222.77 | 24 | |
\(FM _{10}\) | SQP | 4886.5 | 8488.4 | 22 |
HCSNM | 978.13 | 183.49 | 30 |