Aggregating Robots Compute: An Adaptive Heuristic for the Euclidean Steiner Tree Problem
H. Hamann, H. Wörn, in: The Tenth International Conference on Simulation of Adaptive Behavior (SAB’08), 2008, pp. 447--456.
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Conference Paper
| Published
| English
Author
Hamann, Heiko;
Wörn, Heinz
Publishing Year
Proceedings Title
The tenth International Conference on Simulation of Adaptive Behavior (SAB'08)
Volume
5040
Page
447--456
ISBN
LibreCat-ID
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Hamann H, Wörn H. Aggregating Robots Compute: An Adaptive Heuristic for the Euclidean Steiner Tree Problem. In: The Tenth International Conference on Simulation of Adaptive Behavior (SAB’08). Vol 5040. ; 2008:447--456. doi:10.1007/978-3-540-69134-1_44
Hamann, H., & Wörn, H. (2008). Aggregating Robots Compute: An Adaptive Heuristic for the Euclidean Steiner Tree Problem. In The tenth International Conference on Simulation of Adaptive Behavior (SAB’08) (Vol. 5040, pp. 447--456). https://doi.org/10.1007/978-3-540-69134-1_44
@inproceedings{Hamann_Wörn_2008, title={Aggregating Robots Compute: An Adaptive Heuristic for the Euclidean Steiner Tree Problem}, volume={5040}, DOI={10.1007/978-3-540-69134-1_44}, booktitle={The tenth International Conference on Simulation of Adaptive Behavior (SAB’08)}, author={Hamann, Heiko and Wörn, Heinz}, year={2008}, pages={447--456} }
Hamann, Heiko, and Heinz Wörn. “Aggregating Robots Compute: An Adaptive Heuristic for the Euclidean Steiner Tree Problem.” In The Tenth International Conference on Simulation of Adaptive Behavior (SAB’08), 5040:447--456, 2008. https://doi.org/10.1007/978-3-540-69134-1_44.
H. Hamann and H. Wörn, “Aggregating Robots Compute: An Adaptive Heuristic for the Euclidean Steiner Tree Problem,” in The tenth International Conference on Simulation of Adaptive Behavior (SAB’08), 2008, vol. 5040, pp. 447--456.
Hamann, Heiko, and Heinz Wörn. “Aggregating Robots Compute: An Adaptive Heuristic for the Euclidean Steiner Tree Problem.” The Tenth International Conference on Simulation of Adaptive Behavior (SAB’08), vol. 5040, 2008, pp. 447--456, doi:10.1007/978-3-540-69134-1_44.
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