Black Widow Optimization Algorithm
A novel bio-inspired meta-heuristic optimization algorithm called Black Widow Optimization Algorithm (BWOA) is presented
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A novel bio-inspired meta-heuristic optimization algorithm called Black Widow Optimization Algorithm (BWOA) is presented. BWOA mimics the spiders' different movement strategies for courtship-mating, guaranteeing the exploration and exploitation of the search space. The optimization results show the reliability of BWOA compared to state-of-the-art meta-heuristic algorithms and show competitive results as a micro-algorithm, opening its future application for an online optimization calculation in low requirement hardware.
Cite this paper as: Peña-Delgado, Adrián F.,Peraza-Vázquez, Hernán, et.al. A Novel Bio-Inspired Algorithm Applied to Selective Harmonic Elimination in a Three-Phase Eleven-Level Inverter. Mathematical Problems in Engineering. (2020). Hindawi.
Citar como
Peña-Delgado, Adrián F., et al. “A Novel Bio-Inspired Algorithm Applied to Selective Harmonic Elimination in a Three-Phase Eleven-Level Inverter.” Mathematical Problems in Engineering, edited by S. A. Edalatpanah, vol. 2020, Hindawi Limited, Dec. 2020, pp. 1–10, doi:10.1155/2020/8856040.
Agradecimientos
Inspiración para: Black widow optimization with a Gaussian mutation algorithm
Información general
- Versión 1.0.3 (1,99 MB)
Compatibilidad con la versión de MATLAB
- Compatible con cualquier versión
Compatibilidad con las plataformas
- Windows
- macOS
- Linux
