The quadratic shortest path problem : complexity, approximability, and solution methods

Rostami, Borzou and Chassein, André and Hopf, Michael and Frey, Davide and Buchheim, Christoph and Malucelli, Federico and Goerigk, Marc (2016) The quadratic shortest path problem : complexity, approximability, and solution methods. Working Paper. UNSPECIFIED.

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Abstract

We consider the problem of finding a shortest path in a directed graph with a quadratic objective function (the QSPP). We show that the QSPP cannot be approximated unless P=NP. For the case of a convex objective function, an n-approximation algorithm is presented, where n is the number of nodes in the graph, and APX-hardness is shown. Furthermore, we prove that even if only adjacent arcs play a part in the quadratic objective function, the problem still cannot be approximated unless P=NP. In order to solve the problem we first propose a mixed integer programming formulation, and then devise an efficient exact Branch-and-Bound algorithm for the general QSPP, where lower bounds are computed by considering a reformulation scheme that is solvable through a number of minimum cost flow problems. In our computational experiments we solve to optimality different classes of instances with up to 1000 nodes.

Item Type:
Monograph (Working Paper)
Subjects:
?? shortest path problemquadratic 0-1 optimizationcomputational complexitybranch and bound ??
ID Code:
78370
Deposited By:
Deposited On:
25 Feb 2016 10:00
Refereed?:
No
Published?:
Published
Last Modified:
15 Jul 2024 07:57