Wednesday, April 5, 2017

MIP Modeling: preventing a bit-pattern

From (1):

Let us say we have \(n\) binary variables \(x_i\) for all \(i=1,2,…,n\) i.e., \(x_i \in \{0,1\}\) for all \(i=1,2,…,n\).

I need to write the following constraint:

  • If \(x_i=1\) and \(x_{i+2}=1\), then \(x_{i+1}=1\). In other words, the variables \(x_i\) must be consecutives.

Basically we want to prevent the sequence \([1,0,1]\) but allow all other patterns. This can be accomplished with the constraint:

\[\boxed{x_i-x_{i+1}+x_{i+2} \le 1}\]

This is actually a special case of (2). Of course for this small example we can inspect all possible combinations (there are \(2^3=8\) of them) to verify we do the right thing:


Counting Start-ups

What about if you want to have all your \(x_i=1\) consecutive. I.e. we only allow something like \([0,0,1,1,1,1,0,0,0]\) where there are no holes in the series of ones. This can be best modeled by counting the number of times we go from \(0\) to \(1\). A compact formulation is:

\[\boxed{\begin{align}&s_i \ge x_i – x_{i-1}\\
                     &\sum_i s_i \le 1\\
                     &s_i \in \{0,1\}\end{align}}\]

Here we force \(s_i=1\) if we go from \(0\) to \(1\). Note that we can relax \(s_i\) to be continuous (i.e. \(s_i \in [0,1]\)).

This example would show:

  1. How to model a consecutive binary constraint?
  2. Integer Cuts,
  3. Modeling number of machine start-ups,

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