

![0_image_0.png](0_image_0.png)

multiple objectives. An additional use of the system will be **the resolution of dynamic VRPs. The**
market mechanism provides a platform for the matching of offers to vehicles without the immediate need of accepting them, yet still obtaining feasible solutions and gathering a prize for acceptance of offers which may be reported back to the customer.

## References

[1] J.-F. Cordeau, G. Laporte, and A. Mercier. A unified tabu search heuristic for vehicle routing problems with time windows. Journal of the Operational Research Society**, (52):928–936, 2001.**
[2] Jorge Pinho de Sousa, editor. Proceedings of the Metaheuristics International Conference MIC
2001**, Porto, Portugal, July 2001.**
[3] Eric Taillard, Philippe Badeau, Michel Gendreau, Fran¸coi ´ **s Guertin, and Jean-Yves Potvin. A**
tabu search heuristic for the vehicle routing problem with soft time windows. **Transportation** Science**, 31(2):170–186, May 1997.**
[4] Martin Josef Geiger. Genetic algorithms for multiple objective vehicle routing. In de Sousa [2],
pages 349–353.

[5] Michel Gendreau and Olli Br¨aysy. Metaheuristic approaches for the vehicle routing problem with time windows: A survey. pages 1–10.

[6] Nicolas Jozefowiez, Fr´ed´eric Semet, and El-Ghazali Talbi. Parallel and hybrid models for multiobjective optimization: Application to the vehicle routing problem. In J.J. Merelo Guerv´os et al.,
editor, Parallel Problem Solving from Nature VII, volume 2439 of **Lecture Notes in Computer**
Science**, pages 271–280, Berlin Heidelberg, 2002. Springer-Verlag.**
[7] Tadahiko Murata and Ryota Itai. Multi-objective vehicle routing problems using two-fold emo algorithms to enhance solution similarity on non-dominated solutions. In C.A. Coello Coello et al., editor, **Evolutionary Multi-Criterion Optimization, Third International Conference, EMO**