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
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Updated 23 Aug 2021

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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

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.

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Created with R2021a
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Version Published Release Notes
1.0.2

link added
1.0.1

paper link added
1.0.0