A Swarm Optimization Genetic Algorithm Based on Quantum-Behaved Particle Swarm Optimization

Table 4

Comparison of SOGA with other algorithms and with GA.

Function	Test	SOGA
		BPSO	BQPSO	GA		GA
	value	<0.0001	<0.0001	0.0151	0.0115	0.0166
		1	1	1	1	1
	value	<0.0001	<0.0001	0.0001	<0.0001	0.0340
		1	1	1	1	1
	value	0.0724	<0.0001	<0.0001	<0.0001	0.4280
				1	1	0
	value	<0.0001	<0.0001	0.2633	0.0119	0.2816
		1	1	0	1	0
	value	<0.0001	<0.0001	<0.0001	<0.0001	0.0171
		1	1	1	1	1
	value	<0.0001	<0.0001	0.0006	<0.0001	0.4430
		1	1	1	1	0
	value	0.0081	<0.0001	0.0004	0.0080	0.2582
		1	1	1	1	0
	value	<0.0001	0.0002	<0.0001	<0.0001	0.2063
		1	1	1	1	0
	value	<0.0001	0.3884	<0.0001	<0.0001	0.0043
		1	0	1	1	1
	value	<0.0001	<0.0001	0.0291	<0.0001	0.4065
		1	1	1	1	0

The crossover and mutation operation act on substring.