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