Satisfaction Optimization

sphere function is implemented

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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.

Cite As

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

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.0