期刊
TRANSPORTATION SCIENCE
卷 52, 期 2, 页码 320-330出版社
INFORMS
DOI: 10.1287/trsc.2017.0771
关键词
mixed-integer, second-order conic programming; path planning; mission planning; traveling salesman problem
资金
- MIUR, Italy, under the [grant PRIN]
- University of Bologna
Carrier-vehicle systems generally consist of a slow carrier (e.g., a ship) with a long operational range and a faster vehicle (e.g., an aircraft) with a limited operational range. The carrier has the role of transporting the faster vehicle and of deploying, recovering, and servicing it. The goal of the carrier-vehicle traveling salesman problem (CVTSP) is to permit the faster vehicle to visit a given collection of targets in the shortest time while using the carrier as a base for possible multiple trips. As a consequence, the carrier and vehicle should be synchronized. The visiting sequence of the targets is not given a priori. We present a mixed-integer, second-order conic programming (MISOCP) formulation for the CVTSP. Computational results are shown for the resolution of the model with commercial solvers. The MISOCP structure and the relationship to the traveling salesman problem are exploited for developing a ranking-based solution algorithm that outperforms the commercial solvers.
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