Research Article
A Swarm Optimization Genetic Algorithm Based on Quantum-Behaved Particle Swarm Optimization
Table 5
Comparison of
with other algorithms.
| Function | Test | | BPSO | BQPSO | GA | | SOGA |
| | value | <0.0001 | <0.0001 | | | | | | | | | | | value | <0.0001 | <0.0001 | | <0.0001 | | | | | | 1 | | | value | <0.0001 | | <0.0001 | <0.0001 | <0.0001 | | | | | 1 | | | value | <0.0001 | <0.0001 | | 0.0104 | | | | | | 1 | | | value | <0.0001 | <0.0001 | <0.0001 | <0.0001 | | | | 1 | | 1 | | | value | <0.0001 | <0.0001 | | <0.0001 | | | | 1 | | 1 | | | value | <0.0001 | <0.0001 | <0.0001 | <0.0001 | <0.0001 | | | 1 | | 1 | | | value | <0.0001 | <0.0001 | <0.0001 | <0.0001 | <0.0001 | | | 1 | | | | | value | <0.0001 | <0.0001 | <0.0001 | <0.0001 | | | | 1 | | | | | value | <0.0001 | <0.0001 | | <0.0001 | | | | | | | |
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The crossover and mutation operation act on substring.
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