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Add a Simulated Annealing method within the Pints' optimiser interface
Motivation
Simulated Annealing is competitive for large search spaces where a global optimal is preferred to a well performing local optimal. Potential problems that could benefit from this method include identification tasks with a large parameter space; however, I suspect the number of forward model evaluations will be higher than our other global optimisation methods.
Possible implementation
No response
Additional context
No response
The text was updated successfully, but these errors were encountered:
Feature description
Add a Simulated Annealing method within the Pints' optimiser interface
Motivation
Simulated Annealing is competitive for large search spaces where a global optimal is preferred to a well performing local optimal. Potential problems that could benefit from this method include identification tasks with a large parameter space; however, I suspect the number of forward model evaluations will be higher than our other global optimisation methods.
Possible implementation
No response
Additional context
No response
The text was updated successfully, but these errors were encountered: