Fitness-Distance-Balance based Adaptive Guided Differential Evolution (FDB-AGDE) algorithm for global optimization and real world engineering problems.
Guvenc, U., Duman, S., Kahraman, H. T., Aras, S., Katı, M., “Fitness-Distance Balance based adaptive guided differential evolution algorithm for security-constrained optimal power flow problem incorporating renewable energy sources”, Applied Soft Computing, https://doi.org/10.1016/j.asoc.2021.107421, (2021).
FDB Method (First Introduction and Implementation on SOS of Fitness-Distance Balance method)
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)
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FDB-AGDE is one of the most powerful meta-heuristic global optimization algorithms. We shared the codes of the three different versions (FDB-AGDE Cases) we presented in the article. You can test what is best for your problem.
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