Research Article
Improved Particle Swarm Optimization with a Collective Local Unimodal Search for Continuous Optimization Problems
Table 7
Comparison between GLSPSO and
-PSO
CLUS for problems with dimension of 10.
| Problem | Ackley | Griewank | Rastrigin | Rosenbrock | Sphere |
| Algorithm | GLSPSO | -PSOCLUS | GLSPSO | -PSOCLUS | GLSPSO | -PSOCLUS | GLSPSO | -PSOCLUS | GLSPSO | -PSOCLUS |
| Best fitness | 0.0364 | 0.0000 | | | 8.8062 | 0.0000 | 2.6188 | 0.0000 | | | Mean fitness | 0.3413 | 18.2504 | 0.0041 | 0.0042 | 29.4936 | 0.0000 | 9.0025 | 1.0516 | 0.0142 | 0.0000 | Worst fitness | 1.2653 | 20.0771 | 0.0419 | 0.1008 | 50.4781 | 0.0000 | 18.9887 | 2.8033 | 0.0476 | 0.0000 | Std. Dev. | 0.2762 | 5.4640 | 0.0061 | 0.0186 | 10.4372 | 0.0000 | 0.034 | 0.6449 | 0.0123 | 0.0000 |
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