Research Article
Improved Particle Swarm Optimization with a Collective Local Unimodal Search for Continuous Optimization Problems
Table 4
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 | 17.1371 | 0.0041 | 0.0016 | 29.4936 | 0.0000 | 9.0025 | 1.9971 | 0.0142 | 0.0000 | Worst fitness | 1.2653 | 20.0888 | 0.0419 | 0.0791 | 50.4781 | 0.0000 | 18.9887 | 3.1444 | 0.0476 | 0.0000 | Std. Dev. | 0.2762 | 6.7543 | 0.0061 | 0.0111 | 10.4372 | 0.0000 | 0.034 | 0.7262 | 0.0123 | 0.0000 |
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