AFDB-SFS

Adaptive Fitness-Distance Balance-based Stochastic Fractal Search Algorithm
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Aggiornato 22 ott 2022

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FDB Selection Method: Fitness Distance Balance was first introduced in the following link:
FDB-based other Meta-heuristic Search Algorithms
FDB-AGDE (An improved version Adaptive Guided Differential Evolution)
https://se.mathworks.com/matlabcentral/fileexchange/90601-fdb-agde
FDB-SDO (An improved version of Supply-Demand Optimizer)
https://www.mathworks.com/matlabcentral/fileexchange/84560-fdb-sdo-an-improved-version-of-supply-demand-optimizer
LRFDB-COA (An improved version of Coyote Optimization Algorithm)
Levy flight and FDB-based coyote optimization algorithm for global optimization https://www.mathworks.com/matlabcentral/fileexchange/87864-lrfdb-coa
FDB-SFS (An improved version of Stochastic Fractal Search Algorithm)
dfDB-MRFO: (An improved version Manta ray foraging optimization)
FDB-TLABC: A Powerful Meta-heuristic Optimization Algorithm
https://mathworks.com/matlabcentral/fileexchange/106920-fdb-tlabc-a-powerful-meta-heuristic-optimization-algorithm

Cita come

mehmet kati (2025). AFDB-SFS (https://it.mathworks.com/matlabcentral/fileexchange/118485-afdb-sfs), MATLAB Central File Exchange. Recuperato .

https://www.sciencedirect.com/science/article/pii/S0952197622004912 Duman, S., Kahraman, H. T., Kati, M., "Economical operation of modern power grids incorporating uncertainties of renewable energy sources and load demand using the adaptive fitness-distance balance-based stochastic fractal search algorithm", Engineering Applications of Artificial Intelligence, Volume 117, Part A, 2023, 105501,https://doi.org/10.1016/j.engappai.2022.105501.

Compatibilità della release di MATLAB
Creato con R2022b
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Versione Pubblicato Note della release
1.0.1

Update cite as

1.0.0