Research Article
A New Chaotic Starling Particle Swarm Optimization Algorithm for Clustering Problems
Table 5
Parameter settings in the experiment.
| Parameters | PSO | ABC [22] | FER-PSO [23] | GABC [24] | SPSO [25] | CSPSO |
| Population () | 50 | 50 | 50 | 50 | 50 | 50 | | 200 | 200 | 200 | 200 | 200 | 200 | | 2,2 | − | 2,2 | − | 2,2 | 2, 2 | | (0, 1) | (−1, 1) | (0.1, 0.4) | (−1, 1) | (0, 1) | (0, 1) | | 1 | − | 1 | 1 | (0.2, 0.4) | (0.4. 1.2) | Neighbors () | − | − | 7 | − | 7 | 2−7 | Selected () | − | − | − | − | − | 10 | Sub-population | − | − | − | − | 14 | − | Stagnant limit | − | − | − | − | 2 | − | Trial limit | − | 10 | − | 10 | − | − |
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