Research Article
Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine
Table 3
BQPSO, BPSO, and GA parameters for gene subset selection and classification.
| | BQPSO |
| | Swarm size | 20 | | Iteration | 100 | | Dimension of particle | 1 | | β | 1 |
| | BPSO |
| | Swarm size | 20 | | Iteration | 100 | | Maximum of velocity | 6 | | (, , ) | (0.5, 2, 2) |
| | GA |
| | Swarm size | 20 | | Iteration | 100 | | Probability of crossover | 0.9 | | Probability of mutation | 0.04 |
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