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Genetic Algorithm for Traveling Salesman Problem with Modified Cycle Crossover Operator. Computational Intelligence and Neuroscience, 2017:7.
Kim, E., Jinkyu, L., & Kang, S. 2013. Real-time prediction of battery power requirements for electric vehicles. Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems,
ICCPS 2013:11–20.
Kirkpatrick, S. & Toulouse, G. 1985. Configuration space analysis of travelling salesman problems.
http://dx.doi.org/10.1051/jphys:019850046080127700, 46.
Larranaga, P., Kuijpers, C., Murga R., H., Inza, I. & Dizdarevic S. 1999. Genetic Algorithms for the
Travelling Salesman Problem: A Review of Representations and Operators. Artificial Intelligence
Review, 13:129–170.
Lucieer, A., Sharon, R. & Darren, T. 2011. Unmanned Aerial Vehicle (UAV) Remote Sensing for Hyperspatial Terrain Mapping of Antarctic Moss Beds based on Structure from Motion (SfM) point clouds.
Meneses, S., Cueva, R., Tupia, M. & Guanira, M. 2017. A genetic algorithm to solve 3D traveling
salesman problem with initial population based on a GRASP algorithm. Journal of Computational
Methods in Sciences and Engineering, 17:1–10.
Miller, E., C., Tucker, A.W. & Zemlin, R.A. 1960. Integer Programming Formulation of Traveling Salesman Problems. J. Acm, 7:326–329.
Mintab, 2018. Minitab 18. [Online] Available from: http://www.minitab.com/en-us/.
Pehlivanoglu, Y. & Abdurrahman, H. 2007. Vibrational Genetic Algorithm Based Path Planner for
Autonomous UAV in Spatial Data Based Environments. Proceedings of the 3rd International Conference on Recent Advances in Space Technologies, RAST 2007:573–578.
PIX4D. 2018. How to verify that there is enough overlap between the images. [Online] Available from:
http://support.pix4d.com/hc/en-us/articles/203756125-How-to-verify-that-there-is-enough-overlapbetween-the-images.
Portas, E., Torre, L., Cruz, J. & Toro, B. 2010. Evolutionary Trajectory Planner for Multiple UAVs in
Realistic Scenarios. Robotics, IEEE Transactions on, 26:619–634.
Sužiedelytė-Visockienė, J. 2016. Unmanned Aerial Vehicles for Photogrammetry: Analysis of Orthophoto Images over the Territory of Lithuania. Journal of Aerospace Engineering, 2016:9.
Torrero, L., Seoli, L., Molino, A., Giordan, D., Manconi, A., Allasia, P. & Baldo, M. 2015. The Use
of Micro-UAV to Monitor Active Landslide Scenarios. Engineering Geology for Society and Territory—volume 5, Cham:701–704.
Tseng, C., Chau, C., Elbassioni, K. & Khonji, M. 2017. Autonomous Recharging and Flight Mission
Planning for Battery-operated Autonomous Drones. arXiv preprint arXiv:1703.10049.
US Federal Aviation Administration. 2016. Remote Pilot—Small Unmanned Aircraft Systems Study
Guide.
Zarco-Tejada, J., P., Berni, J., Suarez, L. & Fereres, E. 2018. A new era in remote sensing of crops with
unmanned robots. SPIE Newsroom: pp. 2–4.
Hussain, A., Muhammad, Y.S., Nauman Sajid, M., Hussain, I., Mohamd Shoukry, A. & Gani, S. 2017.
Genetic Algorithm for Traveling Salesman Problem with Modified Cycle Crossover Operator. Computational Intelligence and Neuroscience, 2017:7.
Kim, E., Jinkyu, L., & Kang, S. 2013. Real-time prediction of battery power requirements for electric vehicles. Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems,
ICCPS 2013:11–20.
Kirkpatrick, S. & Toulouse, G. 1985. Configuration space analysis of travelling salesman problems.
http://dx.doi.org/10.1051/jphys:019850046080127700, 46.
Larranaga, P., Kuijpers, C., Murga R., H., Inza, I. & Dizdarevic S. 1999. Genetic Algorithms for the
Travelling Salesman Problem: A Review of Representations and Operators. Artificial Intelligence
Review, 13:129–170.
Lucieer, A., Sharon, R. & Darren, T. 2011. Unmanned Aerial Vehicle (UAV) Remote Sensing for Hyperspatial Terrain Mapping of Antarctic Moss Beds based on Structure from Motion (SfM) point clouds.
Meneses, S., Cueva, R., Tupia, M. & Guanira, M. 2017. A genetic algorithm to solve 3D traveling
salesman problem with initial population based on a GRASP algorithm. Journal of Computational
Methods in Sciences and Engineering, 17:1–10.
Miller, E., C., Tucker, A.W. & Zemlin, R.A. 1960. Integer Programming Formulation of Traveling Salesman Problems. J. Acm, 7:326–329.
Mintab, 2018. Minitab 18. [Online] Available from: http://www.minitab.com/en-us/.
Pehlivanoglu, Y. & Abdurrahman, H. 2007. Vibrational Genetic Algorithm Based Path Planner for
Autonomous UAV in Spatial Data Based Environments. Proceedings of the 3rd International Conference on Recent Advances in Space Technologies, RAST 2007:573–578.
PIX4D. 2018. How to verify that there is enough overlap between the images. [Online] Available from:
http://support.pix4d.com/hc/en-us/articles/203756125-How-to-verify-that-there-is-enough-overlapbetween-the-images.
Portas, E., Torre, L., Cruz, J. & Toro, B. 2010. Evolutionary Trajectory Planner for Multiple UAVs in
Realistic Scenarios. Robotics, IEEE Transactions on, 26:619–634.
Sužiedelytė-Visockienė, J. 2016. Unmanned Aerial Vehicles for Photogrammetry: Analysis of Orthophoto Images over the Territory of Lithuania. Journal of Aerospace Engineering, 2016:9.
Torrero, L., Seoli, L., Molino, A., Giordan, D., Manconi, A., Allasia, P. & Baldo, M. 2015. The Use
of Micro-UAV to Monitor Active Landslide Scenarios. Engineering Geology for Society and Territory—volume 5, Cham:701–704.
Tseng, C., Chau, C., Elbassioni, K. & Khonji, M. 2017. Autonomous Recharging and Flight Mission
Planning for Battery-operated Autonomous Drones. arXiv preprint arXiv:1703.10049.
US Federal Aviation Administration. 2016. Remote Pilot—Small Unmanned Aircraft Systems Study
Guide.
Zarco-Tejada, J., P., Berni, J., Suarez, L. & Fereres, E. 2018. A new era in remote sensing of crops with
unmanned robots. SPIE Newsroom: pp. 2–4.