Research Article
Binary Bitwise Artificial Bee Colony as Feature Selection Optimization Approach within Taguchi’s T-Method
Table 3
Parameter setting for all BitABC and PBPSO algorithm.
| | Parameter | BABC | BPSO |
| | Population size, NP | 50 | 30 | | Acceleration coefficient, C1 | NA | 2 | | Acceleration coefficient, C2 | NA | 2 | | Inertia weight, | NA | 0.4 | | Inertia weight, | NA | 0.9 | | Maximum number of cycle | 500 | 100 | | Limit | 100 | NA | | Vmax | NA | 5 | | Number of run | 20 | | Training dataset | 70% | | Validation dataset | 30% |
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Note. NA: not applicable.
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