Abstract
We address the route selection problem for Unmanned Air Vehicles (UAV) under multiple objectives. We consider a general case for this problem, where the UAV has to visit several targets and return to the base. We model this problem as a combination of two combinatorial problems. First, the path to be followed between each pair of targets should be determined. We model this as a multi-objective shortest path problem. Additionally, we need to determine the order of the targets to be visited. We model this as a multi-objective traveling salesperson problem (MOTSP). The overall problem is a combination of these two problems, which we define as a generalized MOTSP. We develop an exact interactive approach to identify the best paths and the best tour of a decision maker under a linear utility function.
| Original language | English |
|---|---|
| Pages (from-to) | 379-394 |
| Number of pages | 16 |
| Journal | Journal of Optimization Theory and Applications |
| Volume | 150 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Aug 2011 |
Keywords
- Combinatorial optimization
- Interactive method
- Multi-objective decision making
- Multi-objective shortest path
- Multi-objective traveling salesperson problem
- Unmanned Air Vehicle
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