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.
Cite As
praveen kumar (2026). Satisfaction Optimization (https://uk.mathworks.com/matlabcentral/fileexchange/174220-satisfaction-optimization), MATLAB Central File Exchange. Retrieved .
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