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

Version 1.0.2 (5,01 ko)
520 téléchargements
(0)
23 août 2021

Vous suivez désormais cette soumission

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
https://www.sciencedirect.com/science/article/pii/S1568494621007353?via%3Dihub
50 days' free access (until October 12, 2021)
https://www.sciencedirect.com/science/article/pii/S1568494621007353?dgcid=author

Citation pour cette source

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.

Informations générales

Compatibilité avec les versions de MATLAB

  • Compatible avec toutes les versions

Plateformes compatibles

  • Windows
  • macOS
  • Linux
Ouvrir dans un nouvel onglet
Version Publié le Notes de version
1.0.2

link added
1.0.1

paper link added
1.0.0