Shortest paths and location problems in a continuous framework with different $\ell_p$-norms on different regions
Martine Labb\'e, Justo Puerto, Mois\'es Rodr\'iguez-Madrena

TL;DR
This paper develops a mixed-integer second order cone programming approach to solve shortest path and Weber location problems in a subdivided space with different $\\ell_p$-norms, extending classical geometric and optimization methods.
Contribution
It introduces a novel MISOCP formulation for shortest path problems with multiple norms and extends the solution approach to Weber location problems in such spaces.
Findings
MISOCP formulations effectively solve the problems.
The approach generalizes classical shortest path and Weber problems.
Computational experiments validate the method's efficiency.
Abstract
In this paper we address two different related problems. We first study the problem of finding a simple shortest path in a -dimensional real space subdivided in several polyhedra endowed with different -norms. This problem is a variant of the weighted region problem, a classical path problem in computational geometry introduced in Mitchell and Papadimitriou (JACM 38(1):18-73, 1991). As done in the literature for other geodesic path problems, we relate its local optimality condition with Snell's law and provide an extension of this law in our framework space. We propose a solution scheme based on the representation of the problem as a mixed-integer second order cone problem (MISOCP) using the -norm modeling procedure given in Blanco et al. (Comput Optim Appl 58(3):563-595, 2014). We derive two different MISOCPs formulations, theoretically compare the lower bounds…
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Facility Location and Emergency Management · Robotic Path Planning Algorithms
