An Improved Quantum-Behaved Particle Swarm Optimization Algorithm with Elitist Breeding for Unconstrained Optimization

Table 1

The test instances used in the experiment.

Name	Function		Search space	Global	Acceptance
Sphere		30		0	0.01
Schwefel’s P2.22		30		0	0.01
Quadric		30		0	100
Rosenbrock		30		0	100
Step		30		0	0
Quadric Noise		30		0	0.01
Schwefel		30		0	2569.5
Rastrigin		30		0	50
Noncontinuous Rastrigin		30		0	50
	where
Ackley		30		0	0.01
	Griewank						30		0	0.01
Generalized penalized		30		0	0.01
	where