This is a Python implementation of the Doubly Stochastic Projected Fixed Point (DSPFP) algorithm for solving the Quadratic Assignment Problem / Graph Matching..

An example of the quadratic assignment problem (QAP) is the facility location problem, in which n facilities are assigned, at minimum cost, to n sites. Between each pair of facilities, there is a ...

Since procedures for producing optimal solutions to a quadratic assignment problem are computationally infeasible for any but small problems, heuristic techniques for producing approximate solutions ...

Abstract: The problem of determining the location of the hospital's department to minimize the total distance traveled by patients can be formulated as a Quadratic assignment problem (QAP), one of the ...

Abstract: In recent years, there has been growing interest in algorithms inspired by the observation of natural phenomena to define computational procedures that can solve complex problems. We ...

This paper introduces a new variable depth search method for the Quadratic Assignment Problem. The new method considers the cost of edges assignment as the criterion to decide which vertices to ...

ABSTRACT: Balas and Mazzola linearization (BML) is widely used in devising cutting plane algorithms for quadratic 0-1 programs. In this article, we improve BML by first strengthening the primal ...