Takagi-Sugeno fuzzy model identification using improved multiswarm particle swarm optimization in solar photovoltaics

• Datum: 2025
• Hauptverfasser: Zdiri, S., Moulahi, M., Messaoudi, F., Zaafouri, A.
• Format: Artikel
• Sprache: English
• Veröffentlicht: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2025
• Schlagworte: improved multiswarm particle swarm optimization; particle swarm optimization; specific Takagi-Sugeno modeling
• Online Zugang: http://eie.khpi.edu.ua/article/view/327924
• Назва журналу: Electrical Engineering & Electromechanics

Introduction. The particle swarm optimization (PSO) algorithm has proven effective across various domains due to its efficient search space exploration, ease of implementation, and capability to handle high-dimensional problems. However, it is often prone to premature convergence, which limits its p...