Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 429-442 |
| Number of pages | 14 |
| Journal | Studies in Computational Intelligence |
| Volume | 595 |
| DOIs | |
| Publication status | Published - 2015 |