We propose a framework for model calibration based on niching genetic algorithms.

It consists of interactive multimodal search, visualization, and parameters analysis.

The output of the framework is a set of alternative model calibration solutions.

The multimodal framework is applied to two different applications.

Experiments showed the framework benefits when interactively validating models.