  


Special cases of the quadratic shortest path problem
Hao Hu(h.hutilburguniversity.edu) Abstract: The quadratic shortest path problem (QSPP) is the problem of finding a path in a digraph such that the sum of weights of arcs and the sum of interaction costs over all pairs of arcs on the path is minimized. We first consider a variant of the QSPP known as the adjacent QSPP. It was recently proven that the adjacent QSPP on cyclic digraphs cannot be approximated unless P=NP. Here, we give a simple proof for the same result. We also show that if the quadratic cost matrix is a symmetric weak sum matrix or a symmetric product matrix, then an optimal solution for the QSPP can be obtained by solving the corresponding instance of the shortest path problem. Similarly, it is shown that the QSPP on a directed cycle is solvable in polynomial time. Further, we provide sufficient and necessary conditions for a QSPP instance on a complete symmetric digraph with four vertices to be linearizable. We also characterize linearizable QSPP instances on complete symmetric digraphs with more than four vertices. Finally, we derive an algorithm that examines whether a QSPP instance on the directed grid graph $G_{pq}$ ($p,q\geq 2$) is linearizable. The complexity of this algorithm is ${\mathcal{O}(p^{3}q^{2}+p^{2}q^{3})}$. Keywords: quadratic shortest path problem, directed graph, linearizable instances Category 1: Combinatorial Optimization Category 2: Integer Programming ((Mixed) Integer Nonlinear Programming ) Category 3: Network Optimization Citation: Download: [PDF] Entry Submitted: 11/14/2016 Modify/Update this entry  
Visitors  Authors  More about us  Links  
Subscribe, Unsubscribe Digest Archive Search, Browse the Repository

Submit Update Policies 
Coordinator's Board Classification Scheme Credits Give us feedback 
Optimization Journals, Sites, Societies  