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...
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| Format: | Thesis |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/33711/1/PMT%20%20opposition%20based%20learning%20technique%20for%20enhancing%20metaheuristic.pdf |
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