Multiswarm Multiobjective Particle Swarm Optimization with Simulated Annealing for Extracting Multiple Tests

Table 4

Experimental parameters.

The required level of difficulty (ODR)	0.5
The total test time (TR)	5400 (seconds)
The value of α	[0.1, 0.9]
The number of required questions in a test	100
The number of questions in each section in the test	10
The number of simultaneously generated tests in each run	100
The number of questions in the bank	1000 and 12,000
The PSO’s parameters	The number of particles in each swarm: 10
	Random value r1, r2 are in [0,1]
	The percentage of Pbest individuals which receive position information from Gbest (C1): 5%
	The percentage of Gbest which moves to final goals (C2): 5%
	The percentage of migration δ: 10%
	The percentage of migration probability γ: 5%
	The stop condition: either when the tolerance fitness <0.001 or when the number of movement loops >1000
The SA’s parameters	Initial temperature: 100
	Cooling rate: 0.9
	Termination temperature: 0.01
	Number of iterations: 100