Research Article
Improved Particle Swarm Optimization with a Collective Local Unimodal Search for Continuous Optimization Problems
Table 9
Comparison between GLSPSO and
-PSO
CLUS for problems with dimension of 100.
| | Problem | Ackley | Griewank | Rastrigin | Rosenbrock | Sphere |
| | Algorithm | GLSPSO | -PSOCLUS | GLSPSO | -PSOCLUS | GLSPSO | -PSOCLUS | GLSPSO | -PSOCLUS | GLSPSO | -PSOCLUS |
| | Best fitness | 3.5148 | 20.2136 | 0.3195 | 0.0000 | 792.004 | 212.0416 | 1378.0 | 93.7390 | 23.0614 | 0.0000 | | Mean fitness | 3.6709 | 21.0491 | 0.4242 | 0.0000 | 881.0822 | 366.6521 | 1602.0 | 107.2300 | 27.2534 | 0.0000 | | Worst fitness | 3.7664 | 21.1152 | 0.4992 | 0.0000 | 934.9773 | 504.2204 | 1763.0 | 428.1758 | 29.1615 | 0.0000 | | Std. Dev. | 0.0551 | 0.1254 | 0.0303 | 0.0000 | 35.2341 | 68.2009 | 90.2874 | 56.9231 | 1.2253 | 0.0000 |
|
|
