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
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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
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Zitieren als
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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- Version 1.0.2 (5,01 KB)
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| Version | Veröffentlicht | Versionshinweise | Action |
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| 1.0.2 | link added |
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| 1.0.1 | paper link added |
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| 1.0.0 |
