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This repo contains the data files and results for our papers:

Kilic, K.I., Mostarda, L. (2021). Optimum Path Finding Framework for Drone Assisted Boat Rescue Missions. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 227. Springer, Cham. doi: https://doi.org/10.1007/978-3-030-75078-7_23

Bibtex:

@InProceedings{10.1007/978-3-030-75078-7_23,
author="Kilic, Kemal Ihsan and Mostarda, Leonardo",
editor="Barolli, Leonard and Woungang, Isaac and Enokido, Tomoya",
title="Optimum Path Finding Framework for Drone Assisted Boat Rescue Missions",
booktitle="Advanced Information Networking and Applications",
year="2021",
publisher="Springer International Publishing",
address="Cham",
pages="219--231"
doi={10.1007/978-3-030-75078-7_23}
}

K. I. Kilic and L. Mostarda, "Heuristic Drone Pathfinding Over Optimized Charging Station Grid," in IEEE Access, vol. 9, pp. 164070-164089, 2021, doi: https://doi.org/10.1109/ACCESS.2021.3134459

Bibtex:

@ARTICLE{9645571,
  author={Kilic, Kemal Ihsan and Mostarda, Leonardo},
  journal={IEEE Access}, 
  title={Heuristic Drone Pathfinding Over Optimized Charging Station Grid}, 
  year={2021},
  volume={9},
  number={},
  pages={164070-164089},
  doi={10.1109/ACCESS.2021.3134459}
}

In this repo, there are 3 dirs:


data:

Contains lattice point data sets in TSPLIB format. For each dataset eps files show the vertex configuration.

result:

For each data sets contains results of the benchmarks in csv format. The text files are results of the t-test. The results are in the binary matrix format. Row and column headers are the names of the algorithms. 1 represents statistically significant difference 0 represents no statistically significant difference

src:

The simulator written in R (run it from RStudio) and info for processing the simulation results. There is "readme" file in this dir.


boat-rescue-GUI.png: The screen shot of the simulator GUI developed.
Simulator GUI


If you want to check out more files about the TSP algorithm please go to: https://github.com/kk-1/tsp


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