Moth flame optimization to solve optimal power flow with non-parametric statistical evaluation validation
This article demonstrates an appositeness of a novel metaheuristic optimization algorithm viz. the moth flame optimization (MFO) to solve various non-convex, non-linear optimum power flow (OPF) objective functions. MFO is based on movement of moths with respect to the source of light. In this paper,...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2017-01-01
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| Series: | Cogent Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/23311916.2017.1286731 |