Research Article
Improved Particle Swarm Optimization with a Collective Local Unimodal Search for Continuous Optimization Problems
Table 5
Comparison between GLSPSO and
-PSO
CLUS for problems with dimension of 30.
| Problem | Ackley | Griewank | Rastrigin | Rosenbrock | Sphere |
| Algorithm | GLSPSO | R-PSOCLUS | GLSPSO | -PSOCLUS | GLSPSO | -PSOCLUS | GLSPSO | -PSOCLUS | GLSPSO | -PSOCLUS |
| Best fitness | 2.2784 | 20.3075 | 0.0897 | 0.0000 | 109.5946 | 13.9247 | 175.8785 | 22.7589 | 1.9123 | 0.0000 | Mean fitness | 2.8398 | 20.4778 | 0.1257 | 0.0000 | 185.5221 | 36.3715 | 218.4976 | 27.5147 | 2.7449 | 0.0000 | Worst fitness | 3.2952 | 20.5792 | 0.2074 | 0.0000 | 229.6229 | 72.6581 | 259.2466 | 76.7433 | 3.9559 | 0.0000 | Std. Dev. | 0.2273 | 0.0574 | 0.0274 | 0.0000 | 24.9829 | 16.4882 | 21.8027 | 9.9182 | 0.4840 | 0.0000 |
|
|