Kalix’s in-built optimisation tools supports calibration, and general optimisation tasks.

A range of optimisation algorithms are available. Each makes different trade-offs between robustness and optimisation efficiency. SCE is a good choice for difficult problems where a high number of model evaluations is acceptable. DE is a more efficient at finding good solutions quickly, but is not as thorough as SCE.

Algorithm
SCE-UA Shuffled Complex Evolution (SCE)
DE Differential Evolution (DE)
Not implemented yet (below)
SC-SAHEL Shuffled Complex Self Adaptive Hybrid Evolution (SC-SAHEL)
DREAM Dream

Objective functions

Check them out at Objective functions

Pages

Reparameterizations

Objective functions

Shuffled Complex Evolution (SCE)

Shuffled Complex Self Adaptive Hybrid Evolution (SC-SAHEL)

Differential Evolution (DE)

Dream

Covariance Matrix Adaptation Evolution Strategy (CMA-ES)