  Calibration is a crucial step for the validation of computational models and
a challenging task to accomplish. Dynamic Energy Budget (DEB) theory has
experienced an exponential rise in the number of published papers, which in
large part has been made possible by the DEBtool toolbox. Multimodal
evolutionary optimisation could provide DEBtool with new capabilities,
particularly relevant on the provisioning of equally optimal and diverse
solutions. In this paper we present MultiCalib4DEB, a MATLAB toolbox directly
integrated into the existing DEBtool toolbox, which uses multimodal
evolutionary optimisation algorithms to find multiple global and local optimal
and diverse calibration solutions for DEB models. MultiCalib4DEB adds powerful
calibration mechanisms, statistical analysis, and visualisation methods to the
DEBtool toolbox and provides a wide range of outputs, different calibration
alternatives, and specific tools to strengthen the DEBtool calibration module
and to aid DEBtool users to evaluate the performance of the calibration
results.
