Abstract
In this paper, we develop a framework to solve a multi-objective fuzzy vehicle routing problem. The decision variables in the problem are found in the routing decisions and the determination of the pickup order for a set of loads and available trucks. The objective to minimize is both the total time and distance traveled by all the vehicles. The uncertainty in the model is inspired from a timber transportation context, where times are, and sometimes even distances, uncertain. Because of lack of statistical data the uncertainties are sometimes best described as fuzzy numbers. The model developed is solved with a tabu search method, allowing for the above mentioned uncertainties. Finally, the framework is also illustrated with a numerical example.
| Original language | English |
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| Title of host publication | Advances in Computational Intelligence - 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Proceedings |
| Number of pages | 8 |
| Place of Publication | Berlin, Heidelberg |
| Publisher | Springer |
| Publication date | 17.07.2013 |
| Edition | PART 1 |
| Pages | 210-217 |
| ISBN (Print) | 978-3-642-38678-7 |
| ISBN (Electronic) | 978-3-642-38679-4 |
| DOIs | |
| Publication status | Published - 17.07.2013 |
| MoE publication type | A4 Article in conference proceedings |
| Event | 12th International Work-Conference on Artificial Neural Networks, IWANN 2013 - Puerto de la Cruz, Tenerife, Spain Duration: 12.06.2013 → 14.06.2013 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 1 |
| Volume | 7902 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Keywords
- 512 Business and Management
- Tabu search
- Vehicle routing
- Fuzzy numbers
- Optimization