Optimization of supply chains and logistic networks have been largely addressed by simulation-based optimization. The logistics for low-energy biological residues poses a great challenge for logistics that has to be tackled at an international scale. For this application, a new simplified model of logistic networks was created that allows not only an accelerated evaluation through precalculation and aggregation but incorporates on-the-fly optimizations to greatly reduce the solution space. Moreover, an implementation is provided as plugin for the open-source optimization framework HeuristicLab.
|Number of pages||14|
|Journal||Studies in Computational Intelligence|
|Publication status||Published - 2015|