Research Article
An Algorithm for Global Optimization Inspired by Collective Animal Behavior
Table 3
Minimization result of benchmark functions in Table
12 with
. Maximum number of iterations = 1000.
| | | RGA | PSO | GSA | DE | CAB |
| | Average best sofar | 23.13 | | | 11.21 | | Median best sofar | 21.87 | | | 13.21 | | Average mean fitness | 23.45 | | | 11.78 | | | Average best sofar | 1.07 | 2.0 | | 0.95 | | Median best sofar | 1.13 | | | 1.05 | | Average mean fitness | 1.07 | 2.0 | | 0.90 | | | Average best sofar | | | | 0.12 | | Median best sofar | | | | 0.09 | | Average mean fitness | | | | 0.11 | | | Average best sofar | 11.78 | 8.1 | | 0.012 | | Median best sofar | 11.94 | 7.4 | | 0.058 | | Average mean fitness | 11.78 | 23.6 | | 0.013 | | | Average best sofar | | | 25.16 | 0.25 | | Median best sofar | | | 25.18 | 0.31 | | Average mean fitness | | | 25.16 | 0.24 | | | Average best sofar | 24.01 | | | | | Median best sofar | 24.55 | | | | | Average mean fitness | 24.52 | 0.02 | | | | | Average best sofar | 0.06 | 0.04 | 0.018 | | | Median best sofar | 0.06 | 0.04 | 0.015 | | | Average mean fitness | 0.56 | 1.04 | 0.533 | | |
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