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Optimize for capacities
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@ -25,12 +25,12 @@ administration:
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Mine mattekunnskaper er tydeligvis fraværende. Jeg klarer ikke finne en
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Mine mattekunnskaper er tydeligvis fraværende. Jeg klarer ikke finne en
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fornuftig løsning på dette:
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fornuftig løsning på dette:
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| A: | 160 |
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| A | 160 |
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| B: | 150 |
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| B | 150 |
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| C: | 110 |
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| C | 110 |
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| D: | 60 |
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| D | 60 |
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| E: | 60 |
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| E | 60 |
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| F: | 30 |
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| F | 30 |
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Det er snakk om sensur i inf1300 med 283 besvarelser. D og E kan ikke rette
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Det er snakk om sensur i inf1300 med 283 besvarelser. D og E kan ikke rette
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mot hverandre. De bør helst rette mot B eller C.
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mot hverandre. De bør helst rette mot B eller C.
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@ -499,15 +499,52 @@ cry for help.
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with correcting $40$ and /actually/ willing to correct $52$. Therefore, we
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with correcting $40$ and /actually/ willing to correct $52$. Therefore, we
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can try to add some slack to the capacity.
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can try to add some slack to the capacity.
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In reality, the numbers from the original email were
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| A | 158 |
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| B | 150 |
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| C | 108 |
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| D | 60 |
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| E | 60 |
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| F | 15 |
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But when we add them up, it turns out that they only have capacity to
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correct $551$ exams (and we need $2*N = 566$).
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We create a new instance with the original values.
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#+BEGIN_SRC python :tangle committees.py
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def original_instance():
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N = 283
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# A B C D E F
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C = [158, 150, 108, 60, 60, 15]
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S = {3 : {1, 2}, 4 : {1, 2}}
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A = {frozenset([3, 4])}
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return (N, C, S, A)
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#+END_SRC
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Now we can compute a "badness"-score (or weight) for the examiners
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capacities, rather than just stating we cannot surpass their capacity.
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#+BEGIN_SRC python :tangle committees.py
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#+BEGIN_SRC python :tangle committees.py
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def capacity_slack(comms, i, C):
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def capacity_slack(comms, i, C):
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a = sum(comms[c] for c in comms if i in c)
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a = sum(comms[c] for c in comms if i in c)
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return If(a > C[i], a - C[i], C[i] - a)
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return If(a > C[i], a - C[i], C[i] - a)
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#+END_SRC
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For the total weight of the capacities, we try to just sum the weights for
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each examiner.
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#+BEGIN_SRC python :tangle committees.py
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def capacity_weight(comms, C):
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def capacity_weight(comms, C):
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return sum(capacity_slack(comms, i, C) for i in range(len(C)))
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return sum(capacity_slack(comms, i, C) for i in range(len(C)))
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#+END_SRC
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#+END_SRC
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We can now add all of the optimization objectives, stating that it most
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important to respect the capacities of the examiners, then prefer a small
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number of committees, and lastly the /should/ requirement from the previous
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section.
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#+BEGIN_SRC python :tangle committees.py
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#+BEGIN_SRC python :tangle committees.py
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def optimize_instance(instance):
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def optimize_instance(instance):
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N, C, S, A = instance
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N, C, S, A = instance
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@ -527,6 +564,40 @@ cry for help.
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return o.model()
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return o.model()
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#+END_SRC
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#+END_SRC
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We now get something like:
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#+BEGIN_EXAMPLE
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0: 158/158
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1: 158/150
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2: 110/108
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3: 60/60
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4: 65/60
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5: 15/15
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0, 1: 158
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2, 3: 45
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2, 4: 65
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3, 5: 15
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#+END_EXAMPLE
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If we were to prioritize the /should/ requirement over minimizing the number
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of committees, then we would get something like:
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#+BEGIN_EXAMPLE
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0: 158/158
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1: 151/150
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2: 109/108
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3: 64/60
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4: 61/60
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5: 23/15
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0, 1: 26
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0, 2: 109
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0, 5: 23
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1, 3: 64
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1, 4: 61
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#+END_EXAMPLE
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* COMMENT Local variables
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* COMMENT Local variables
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# Local Variables:
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# Local Variables:
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# eval: (add-hook 'after-save-hook 'org-html-export-to-html nil t)
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# eval: (add-hook 'after-save-hook 'org-html-export-to-html nil t)
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