Quadratic assignment problem

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(QAP). See assignment problem.


Assignment problembutton.png

Choose an assignment of people to jobs so as to minimize total cost. The ordinary model is that of a matching problem. Although the usual assignment problem is solvable in polynomial time (as a linear program), important extensions are the following NP-complete problems:

  • Quadratic assignment (QAP). The objective is a quadratic form, which can have just cross terms, so it need not be convex (in fact, it can be quasiconcave, in which case a solution occurs at an extreme point). The QAP includes the traveling salesman problem as a special case (this is what is used with a neural network model of the TSP).
  • Multi-dimensional assignment. More than 2 indexes, the variables are of the form, LaTeX: x_{i,j,k, ...}. The constraints sum all but one index -- for example, the 3-index assignment problem is

LaTeX: 
\textstyle
\begin{array}{rrcl}
\min &  \sum_{i,j,k} c_{i,j,k} x_{i,j,k} & &  \\ \\
\mbox{s.t.} & \sum_{j,k} x_{i,j,k} & = & 1 \mbox{ for all } i, \\
& \sum_{i,k} x_{i,j,k} & = & 1 \mbox{ for all } j, \\
& \sum_{i,j} x_{i,j,k} & = & 1 \mbox{ for all } k.
\end{array}
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