MOAGDE: A New Multi/Many-objective Optimization Algorithm
Development of the Multi-Objective Adaptive Guided Differential Evolution and Optimization of the MO-ACOPF for Wind/PV/Tidal Energy Sources
Al momento, stai seguendo questo contributo
- Vedrai gli aggiornamenti nel tuo feed del contenuto seguito
- Potresti ricevere delle email a seconda delle tue preferenze per le comunicazioni
This study presents the multi-objective adaptive guided differential evolution (MOAGDE) as a powerful and stable algorithm. The MOAGDE can effectively find Pareto optimal solutions for multi-objective optimization problems with different types of high-complexity decision/objective spaces. The proposed MOAGDE was developed by redesigning the adaptive guided differential evolution algorithm for multi-objective optimization.
Paper link
50 days' free access (until October 12, 2021)
Cita come
Duman, S., Akbel, M., Kahraman, H. T., "Development of the Multi-Objective Adaptive Guided Differential Evolution and optimization of the MO-ACOPF for wind/PV/tidal energy sources", Applied Soft Computing, Elsevier BV, Aug. 2021, p. 107814, doi:10.1016/j.asoc.2021.107814.
Informazioni generali
- Versione 1.0.2 (5,01 KB)
Compatibilità della release di MATLAB
- Compatibile con qualsiasi release
Compatibilità della piattaforma
- Windows
- macOS
- Linux
