Satisfaction Optimization

Versione 1.0.0 (1,62 KB) da praveen kumar
sphere function is implemented
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Aggiornato 21 ott 2024

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Satisfaction Optimization focuses on finding solutions that maximize a satisfaction criterion, rather than strictly minimizing a cost or error function. Below is an example of how to implement Satisfaction Optimization in MATLAB using a sphere function as the objective. The sphere function is commonly used as a benchmark in optimization problems.

Cita come

praveen kumar (2024). Satisfaction Optimization (https://www.mathworks.com/matlabcentral/fileexchange/174220-satisfaction-optimization), MATLAB Central File Exchange. Recuperato .

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Creato con R2024b
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satisfy

Versione Pubblicato Note della release
1.0.0