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| Authors: | Nando Laumanns, Marco Laumanns, Dirk Neunzig |
| Group: | Computer Engineering |
| Type: | Inproceedings |
| Title: | Multi-Objective Design Space Exploration of Road Trains with Evolutionary Algorithms |
| Year: | 2001 |
| Month: | March |
| Pub-Key: | LLN2001a |
| Book Titel: | Lecture Notes on Computer Science. Evolutionary Multi-criterion Optimization (EMO 2001) |
| Volume: | 1993 |
| Pages: | 612-623 |
| Keywords: | EMO DSE |
| Publisher: | Springer |
| Abstract: | This paper examines the road train concept as a new alternative in long-distance freight traffic. The design of such a system is a difficult task since many different and conflicting criteria arise depending on the application spec-trum, the legal conditions and the preferences of the carrier. Furthermore the evaluation of each decision alternative relies on a time consuming and sophisti-cated simulation. Evolutionary algorithms (EAs) have shown to be a useful tool for multi-objective optimization in engineering design. Based on a unified model, we develop a problem-specific evolutionary algorithm which features strong elitism, an unlimited archive of non-dominated solutions and density de-pendent selection. This EA is able to create alternatives which dominate previ-ous manually engineered solutions as well as those derived from exhaustive search. |
| Location: | Berlin |
| Resources: | [BibTeX] [Paper as PDF] |
