The quadratic assignment problem (QAP) is one of fundamental combinatorial optimization problems in the branch of optimization or operations research in mathematics, from the category of the facilities location problems.
The problem models the following real-life problem:
- There are a set of n facilities and a set of n locations. For each pair of locations, a distance is specified and for each pair of facilities a weight or flow is specified (e.g., the amount of supplies transported between the two facilities). The problem is to assign all facilities to different locations with the goal of minimizing the sum of the distances multiplied by the corresponding flows.
Intuitively, the cost function encourages factories with high flows between each other to be placed close together.
The problem statement resembles that of the assignment problem, only the cost function is expressed in terms of quadratic inequalities, hence the name.
Read more about Quadratic Assignment Problem: Formal Mathematical Definition, Computational Complexity, Applications
Famous quotes containing the word problem:
“It is part of the educators responsibility to see equally to two things: First, that the problem grows out of the conditions of the experience being had in the present, and that it is within the range of the capacity of students; and, secondly, that it is such that it arouses in the learner an active quest for information and for production of new ideas. The new facts and new ideas thus obtained become the ground for further experiences in which new problems are presented.”
—John Dewey (18591952)