© J. Christopher Beck 20081 Lecture 21: Sports Scheduling 1.
© J. Christopher Beck 2007 Commentary on Session A J. Christopher Beck Department of Mechanical &...
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Transcript of © J. Christopher Beck 2007 Commentary on Session A J. Christopher Beck Department of Mechanical &...
© J. Christopher Beck 2007
Commentary on Session ACommentary on Session A
J. Christopher BeckDepartment of Mechanical & Industrial Engineering
University of Toronto, Canada
Scheduling a Scheduling Competition, Providence, Sept 2007
2© J. Christopher Beck 2007
1+3 Papers1+3 Papers
Ghersi et al. focuses onan operational question– how do we judge the results?– important, technical issue– valuable for whoever runs the competition
Other 3 papers focus ona more strategic question– what problem types should the competition
address?
3© J. Christopher Beck 2007
Some Operational IssuesSome Operational Issues
Automated verification of resultsEntries need to run on the same platformNot just source code vs. binary
– License issues?
4© J. Christopher Beck 2007
Integration vs. FocusIntegration vs. Focus
Rich problems (Le Pape; Guerri et al.) vs. a single fundamental issue (Cicirello)
Things to consider:– industry impact– potential for research progress/breakthroughs
• will we understand the results?
– barriers to entry• easier to participate in Cicirello-style track
– is this an OR vs. AI issue?
5© J. Christopher Beck 2007
Multiple Tracks?Multiple Tracks?
Perhaps of increasing difficultyThings to consider:
– spreading the competition too much• one entry per track is not very interesting
– “granularity” of tracks– creating a challenge– barriers to entry
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Robustness as a CriteriaRobustness as a Criteria
Bias evaluation toward good performance on all instances (Le Pape)
Best all-round single machine scheduler across different opt. funcs (Cicirello)
Things to consider:– “jack of all trades, master of none”
• give up on being “the” best on a given problem• marketing
– industry vs. research– another OR vs. AI issue?
7© J. Christopher Beck 2007
Competition or “Challenge”Competition or “Challenge”
Competition– like SAT or Planning competition– multiple tracks
Challenge– one problem type (e.g., one of Guerri et al.’s, one of
Le Pape’s)– long work horizon (e.g., 6 months – 1 year)– like the CP Modeling Challenge (2005)
8© J. Christopher Beck 2007
Competition or “Challenge”Competition or “Challenge”
Things to consider:– marketing– (end user) industry interest and commitment– barriers to entry– potential for lack of community interest– organizational overhead