PMT: opposition-based learning technique for enhancing meta-heuristic performance
Meta-heuristic algorithms have shown promising performance in solving sophisticated real-world optimization problems. Nevertheless, many meta-heuristic algorithms are still suffering from a low convergence rate because of the poor balance between exploration (i.e., roaming new potential search areas...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/25717/ http://umpir.ump.edu.my/id/eprint/25717/ http://umpir.ump.edu.my/id/eprint/25717/ http://umpir.ump.edu.my/id/eprint/25717/1/PMT_%20opposition-based%20learning%20technique%20for%20enhancing.pdf |