Application of Moth-Flame Optimizer and Ant Lion Optimizer to Solve Optimal Reactive Power Dispatch Problems
This paper presents the application of two nature-inspired meta-heuristic algorithms, namely moth-flame optimizer (MFO) and ant lion optimizer (ALO) in obtaining the optimal settings of control variables for solving optimal reactive power dispatch (ORPD) problems. MFO is developed by the inspiration...
| Main Authors: | Rebecca Ng, Shin Mei, M. H., Sulaiman, Hamdan, Daniyal, Zuriani, Mustaffa |
|---|---|
| Format: | Article |
| Published: |
UTeM
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/30783/ |
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