1. A computer implemented method for alternative model generation to solve optimization model instances having varying degrees of size and complexity comprising the steps of: retrieving input data instances for an optimization model, wherein each input data instance contains multiple sets of input parameters; compacting the input data by eliminating redundant data points while maintaining precision of an input function; retrieving a pre-determined acceptable threshold for modifying model parameters; and determining an optimal alternative representation of the optimization model while keeping parameters within the acceptable threshold.