Hi @nado
The Particle Swarm Optimization stops on reaching one of the Stopping Criteria mentioned in the documentation below, which includes stopping when:
- Number of iterations reaches ‘MaxIterations’
- Relative change in the best objective function valueover the last‘MaxStallIterations’iterations is less than‘FunctionTolerance’.
However, note that the “Relative change” here is measured by:
funChange = abs(maxBestFvalsWindow-bestFval)/max(1,abs(bestFval));
Since your objective function has a value less than 1, the “Relative Change” here is interpreted as “Absolute Change”. With the ‘FunctionalTolerance’ set at the default value, 1e-6, the change in objective function value ‘funChange’, may be still higher than 1e-6, resulting in the continuation of the optimization algorithm.
To avoid this, a possible solution is to change the ‘FunctionalTolerance’ parameter accordingly or scale up the objective function.
Please find below the relevant documentation for more information.
I hope this helps in resolving your query!
