Hybrid methods may be required to solve particularly difficult real-world optimization problems. Implementation of hybrid methods typically requires non-trivial scripting because hybrids generally require a custom optimization workflow process. To illustrate this point, we describe a hybrid optimization method to solve a parameter estimation problem arising in the context of a model for childhood infectious disease transmission.
