image thumbnail

MOAGDE: A New Multi/Many-objective Optimization Algorithm

version 1.0.2 (5.01 KB) by Hamdi Tolga KAHRAMAN
Development of the Multi-Objective Adaptive Guided Differential Evolution and Optimization of the MO-ACOPF for Wind/PV/Tidal Energy Sources

64 Downloads

Updated 23 Aug 2021

View License

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)

Cite As

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.

MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!