Constraint-Directed Scheduling

The following provides a chronology of Constraint-Directed Scheduling research undertaken by the members of the Lab. Papers describing the research can be found via the Research Paper link in the side bar.

  • ODO: This research explores the creation of a generic, constraint-directed scheduling shell called ODO, arising out of Gene Davis’ Master’s thesis. ODO is a four level architecture integrates problem acquisition, generative- and repair-based techniques, and schedule execution around a single constraint graph representation.
  • ODO II: This research extends the basic constraint-directed reasoning to include more sophisticated constraints such as reasoning about alternative activities and resources. It is the result of research by Chris Beck, Andrew Davenport and other members of the Lab.