PMT : opposition based learning technique for enhancing metaheuristic algorithms performance
Metaheuristic algorithms have shown promising performance in solving sophisticated real-world optimization problems. Nevertheless, many metaheuristic algorithms are still suffering from a low convergence rate because of the poor balance between exploration (i.e. roaming new potential search areas) a...
| Auteur principal: | |
|---|---|
| Format: | Thèse |
| Langue: | anglais |
| Publié: |
2020
|
| Sujets: | |
| Accès en ligne: | http://umpir.ump.edu.my/id/eprint/33711/1/PMT%20%20opposition%20based%20learning%20technique%20for%20enhancing%20metaheuristic.pdf |