Abstract
A hierarchical task planning structure is favorable for its capability to accommodate constraints at different abstraction levels and also for the similarity of its planning approach as a human. This structure is adopted for the task planning for multiple HAPS. However, the combinatorial search problem grows with the presence of multiple agents. This work proposes a method to guide the decomposition of the tasks down the hierarchy with genetic algorithm in order to find quality plans within limited time.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Müller, R., Kiam, J.J., Mothes, F.: Multiphysical simulation of a semi-autonomous solar powered high altitude pseudo-satellite. In IEEE Aerospace Conference, Montana (2018)
Benton, J., Smith, D., Kaneshige, J., Keely, L., Stucky, T.: CHAP-E: A plan execution assistant for pilots. In: 28th International Conference on Automated Planning and Scheduling (ICAPS), Delft, The Netherlands (2018)
Höller, D., Bercher, P., Behnke, G., Biundo, S.: A generic method to guide HTN progression search with classical heuristics. In: 28th International Conference on Automated Planning and Scheduling (ICAPS), Delft, The Netherlands (2018)
Nau, D., Au, T.C., Ilghami, O., Kuter, U., Murdock, J.W., Wu, D., Yaman, F.: SHOP2-An HTN planning system. J. Artif. Intell. Res. (JAIR) 2003(20), 379–404 (2003)
Chen, K., Xu, J., Reiff-Marganiec, S.: Markov-HTN planning approach to enhance flexibility of automatic web service composition. IEEE International Conference on Web Services, Los Angeles, California (2009)
Kiam, J.J., Schulte, A.: Multilateral quality mission planning for solar-powered long-endurance UAV. In IEEE Aerospace Conference, Yellowstone Conference Center, Big Sky, Montana (2017)
Johnson, M., Jung, J., Rios, J., Mercer, J., Homola, J., Prevot, T., Mulfinger, D., Kopardekar, P.: Flight test evaluation of an unmanned aircraft system traffic management (UTM) concept for multiple beyond-visual-line-of-sight operations. In Twelfth USA/Europe Air Traffic Management Research and Development Seminar (ATM) (2017)
Kiam, J.J., Schulte, A.: Multilateral mission planning in a time-varying vector field with dynamic constraints. Man, and Cybernetics, Miyazaki, Japan, IEEE Systems (2018)
Shima, T., Rasmussen, S.J., Sparks, A.G., Passino, K.M.: Multiple task assignments for cooperating uninhabited aerial vehicles using genetic algorithms. Comput. Oper. Res. 33(11), 3252–3269 (2006)
Mitchell, M.: An Introduction to Genetic Algorithms. The MIT Press (1999)
Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendorfer, M., Reinhardt, T.: Operational convective-scale numerical weather prediction with the COSMO model: description and sensitivities. Mon. Weather Rev. 139(12), 3887–3905 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Kiam, J.J., Hehtke, V., Besada-Portas, E., Schulte, A. (2019). Hierarchical Planning Guided by Genetic Algorithms for Multiple HAPS in a Time-Varying Environment. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration 2019. IHSI 2019. Advances in Intelligent Systems and Computing, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-030-11051-2_109
Download citation
DOI: https://doi.org/10.1007/978-3-030-11051-2_109
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-11050-5
Online ISBN: 978-3-030-11051-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)