SMDO with Distribution Function for Benchmarking

Versione 1.0.0 (38,2 KB) da abdullah ates
This toolbox presents stochastic multi-parameters divergence (SMDO) method with using different distribution functions.
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Aggiornato 16 apr 2020

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This toolbox presents comparisons of benchmark functions by using stochastic multi-parameters divergence optimization (SMDO) method. SMDO method is a set and trial based optimization algorithm.

It was created in Optimization Methods and Engineering Practice Laboratory (OMEPLAB) from Inonu University Computer Engineering Department by master student Mehmet AKPAMUKCU and Dr. Abdullah ATES.

Cita come

abdullah ates (2026). SMDO with Distribution Function for Benchmarking (https://it.mathworks.com/matlabcentral/fileexchange/75044-smdo-with-distribution-function-for-benchmarking), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2019b
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1.0.0