Application of the Bee Algorithm for Selective Harmonic Elimination Strategy in Multilevel Inverters
By A. Kavousi, Behrooz Vahidi, R. Salehi, Mohammad Kazem Bakhshizadeh, Naeem Farokhnia, Seyed Hamid Fathi. IEEE transactions on power electronics, 2012
404 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/dca51328732550642bf0d9f2b9049765b4dc75a5
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In Electrical and Electronic Engineering
Citations in the corpus
- Unified Selective Harmonic Elimination for Multilevel Converters (2017, methodology): “gorithm [31]–[33], the particle swarm optimization algorithm [34], the bee algorithm [35], etc.”
- A Groebner Bases Theory-Based Method for Selective Harmonic Elimination (2015, methodology): “In [18], the bee algorithm which has higher precision and probability of convergence than the genetic algorithm is applied to a seven-level cascade H-bridge inverter for solving the SHE equations.”
- Selective Harmonic Elimination With Groebner Bases and Symmetric Polynomials (2016, background): “[14] and the evolutionary algorithm [15], [16] are the typical random searching methods.”
- An Overview of Artificial Intelligence Applications for Power Electronics (2020, methodology): “timization [74], firefly optimization algorithm [16], bee algorithm [75], colonial competitive algorithm [76], teachinglearning-based optimization [77], etc.”
- Unified Selective Harmonic Elimination for Cascaded H-Bridge Asymmetric Multilevel Inverter (2018, methodology): “For the intelligent algorithms [21], such as the genetic algorithm [22], the particle swarm optimization [23], [24], the bee algorithm [25], the differential evolution [26], and so on, although the initial values are not necessary, their solving procedures are greatly stochastic and cannot be guaran”