@InProceedings{Pandey:FAS2017:Hybrid,
      AUTHOR = {Pandey, Ashutosh},
      TITLE = {Hybrid Planning in Self-Adaptive Systems},
      YEAR = {2017},
      MONTH = {18-22 September},
      BOOKTITLE = {FAS* Foundations and Applications of Self* Systems (FAS* 2017) Doctoral Symposium},
      ADDRESS = {Tucson, AZ, USA},
      PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/HybridPlanningDoctoralSymposium.pdf},
      ABSTRACT = {Self-adaptive software systems make decisions at run time that seek to change their behavior in response to faults, changing environments and attacks. Therefore, having an appropriate planning approach to find an adaptation plan is critical to successful self-adaptation. For many realistic systems, ideally one would like to have a planning approach that is both quick and finds an optimal adaptation plan. However, due to the fundamental trade-off between quality and timeliness of planning, often designers have to compromise between an approach that is quick to find a plan and an approach that is slow but finds an optimal plan. To deal with this trade-off, this work proposes a hybrid planning approach that combines more than one planning approach to bring their benefits together.},
      KEYWORDS = {Planning, Self-adaptation}
}