Research Article
Computing a Complex Network Hierarchical Structure for Financial Market Networks on the Basis of the Hybrid Heuristic Algorithm
Table 3
Detailed sittings and range of parameters for GSA.
| Parameters | Default value | Min | Max | Path |
| Number of generations | | 100 | 1000 | 50 | Size of population | | 50 | 500 | 50 | Number of chromosomes | Number of the banks | | | | Crossover probability | | 0.1 | 1 | 0.1 | Mutation probability | | 0.01 | 0.1 | 0.01 | Maximum number of generations without improvement | | 10 | 50 | 10 | Initial temperature | | 500 | 10000 | 500 | Annealing parameter | | 0.9 | 0.99 | 0.01 | Maximum iterations of simulated annealing | 1000 | | | |
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